CN116860124B - Noise control method and system for touch screen - Google Patents
Noise control method and system for touch screen Download PDFInfo
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- 230000008054 signal transmission Effects 0.000 claims abstract description 17
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
- G06F3/0416—Control or interface arrangements specially adapted for digitisers
- G06F3/0418—Control or interface arrangements specially adapted for digitisers for error correction or compensation, e.g. based on parallax, calibration or alignment
- G06F3/04186—Touch location disambiguation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
- G06F3/0412—Digitisers structurally integrated in a display
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
- G06F3/0416—Control or interface arrangements specially adapted for digitisers
- G06F3/0418—Control or interface arrangements specially adapted for digitisers for error correction or compensation, e.g. based on parallax, calibration or alignment
- G06F3/04182—Filtering of noise external to the device and not generated by digitiser components
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Abstract
The invention relates to the technical field of noise control of touch screens, and particularly discloses a method and a system for controlling noise of a touch screen. The method comprises the steps that the obtained noise of the touch screen is divided into an infinite impulse response filtering mode and a finite impulse response filtering mode through vibration frequency information, signal transmission information and filtering information, when the noise is in the infinite impulse response filtering mode, short wave noise corresponding to the noise of the touch screen is subjected to suppression processing to obtain first noise suppression information, after noise short wave processing, the first noise corresponding to the long wave noise to be controlled is subjected to suppression processing to obtain second noise suppression information, and the noise of the touch screen is subjected to overall control suppression according to the second noise suppression information, so that the influence of the noise on the touch screen can be reduced after the noise is subjected to overall suppression, and the problem that the noise causes false touch on the touch screen can be avoided.
Description
Technical Field
The invention relates to the technical field of noise control of touch screens, in particular to a method and a system for controlling noise of a touch screen.
Background
The touch screen is an induction type liquid crystal display device capable of receiving input signals such as a contact, when the touch screen contacts a graphic button on the screen, a touch feedback system on the screen can drive various connecting devices according to a preprogrammed program, the touch screen can be used for replacing a mechanical button panel, and vivid video and audio effects are produced by virtue of a liquid crystal display picture, and the touch screen is used as a latest computer input device and is a simple, convenient and natural man-machine interaction mode;
Along with the popularization of intelligent equipment, the touch screen also becomes an indispensable important component of the intelligent equipment, and further touch interaction can be formed between a user and the intelligent equipment through the touch screen, and the influence of noise can be received in the process that the user interacts with the touch screen through touch, if external noise is too large, the excessive noise can cause a touch screen system to mistakenly think that the user is touching, so that error feedback is caused to the touch screen, and therefore, the noise of the touch screen needs to be controlled to reduce misjudgment of the system.
Disclosure of Invention
The invention aims to provide a noise control method of a touch screen, which comprises the following steps:
Acquiring noise parameters of the touch screen, wherein the noise parameters comprise vibration frequency information, signal transmission information and filtering information;
Determining a noise control mode according to the noise parameter, wherein the noise control mode comprises an infinite impulse response filtering mode and a finite impulse response filtering mode;
When the noise of the touch screen is in an infinite impulse response filtering mode, acquiring feedback path information corresponding to the noise of the touch screen, and extracting short wave noise information according to the feedback path information;
inputting the short wave noise information into a recursion model for training to obtain short wave characteristic information;
Performing suppression processing on short wave noise corresponding to the noise of the touch screen according to the recursion structure information to obtain first noise suppression information;
When the noise of the touch screen is in a finite impulse response filtering mode, obtaining stop band attenuation information corresponding to the noise of the touch screen, and extracting long-wave noise information according to the stop band attenuation information;
inputting the long-wave noise information into a non-recursive model for training to obtain long-wave characteristic information;
performing suppression processing on long-wave noise corresponding to the noise of the touch screen according to the long-wave characteristic information to obtain second noise suppression information;
Fusing the first noise suppression information and the second noise suppression information to obtain fused information;
And performing inhibitory control on the touch screen noise according to the fusion information.
Preferably, the step of acquiring the noise parameter of the touch screen includes:
acquiring noise information generated by external contact with a touch screen;
Acquiring corresponding time domain information according to the noise information, and extracting the time domain information to obtain a time domain value;
acquiring an angular frequency value in corresponding time according to the time domain value;
and calculating a frequency domain value corresponding to the noise information according to the time domain value and the angular frequency value, wherein a calculation formula is as follows:
X＝∫(t*w)dt，
wherein X is a frequency domain value, t is a time domain value, and w is an angular frequency value;
Defining frequency information in the time corresponding to the frequency domain value as frequency domain information;
and extracting a magnitude spectrum according to the frequency domain information, comparing the magnitude spectrum with a preset spectrogram, obtaining the vibration frequency of noise corresponding to the magnitude spectrum, and defining vibration information corresponding to the vibration frequency as vibration frequency information.
Preferably, after the step of acquiring noise information generated by external contact with the touch screen, the method further includes:
acquiring time interval information in a period corresponding to the noise information generated by the contact of the external part and the touch screen;
Extracting the time interval information to obtain a time interval value;
acquiring a transmission rate corresponding to the noise information according to the time interval value;
calculating a transmission bandwidth value according to the time interval value and the transmission rate, wherein a calculation formula is as follows:
K＝t1*s
wherein K is a transmission bandwidth value, t1 is a time interval value, and s is a transmission rate;
And defining the transmission information corresponding to the transmission bandwidth value as signal transmission information.
Preferably, the step of determining a noise control mode according to the noise parameter includes:
calculating a filtering value according to the vibration frequency corresponding to the vibration frequency information and the transmission bandwidth value corresponding to the signal transmission information, wherein the calculating formula is as follows:
F＝M-(k/2)
Wherein F is a filtering value, M is a vibration frequency, and k is a transmission bandwidth value;
judging whether the filtering value meets a preset value or not;
If yes, determining that the noise control mode is an infinite impulse response filtering mode;
if not, the noise control mode is determined to be a finite impulse response filtering mode.
Preferably, the step of inputting the short-wave noise information into a recursive model to perform training to obtain short-wave characteristic information includes:
Acquiring input end information and output end information corresponding to the noise according to the feedback path information;
The input end value extracted by the input end information is used as a first sample value, the output end value extracted by the output end information is used as a second sample value, the input end value is input into a recursion model, and a recursion structure value is output, wherein the function of the recursion model is as follows:
f(c)＝a*f(c-1)+b*f(c-2)
Wherein f (c) is a recursive structure value, a is a first sample value, b is a second sample value, and c is a time value;
And defining the shortwave information corresponding to the recursion structure value as shortwave characteristic information.
Preferably, the step of inputting the long wave noise information into a non-recursive model to perform training to obtain long wave characteristic information includes:
acquiring a corresponding attenuation value according to the stop band attenuation information;
Inputting the attenuation value as a third sample value into a non-recursive model, and outputting a non-recursive structure value, wherein the function of the non-recursive model is as follows:
F(n)＝F(n-1)+F(n-2)，n＞2
wherein F (n) is a non-recursive structure value and n is a third sample value;
and defining the long wave information corresponding to the non-recursion structure value as long wave characteristic information.
Preferably, the step of fusing the first noise suppression information and the second noise suppression information to obtain fused information includes:
extracting feature vectors of the first noise suppression information for a plurality of times to obtain a plurality of first feature vector values;
Extracting feature vectors of the second noise suppression information for a plurality of times to obtain a plurality of second feature vector values;
Inputting a plurality of first feature vector values and a plurality of second feature vector values into a feature fusion model as a fourth training sample, and outputting a fusion value, wherein the formula of a function of the feature fusion model is as follows:
E is a fusion value, W 1 is a first feature vector value, W 2 is a second feature vector value, ω is a feature deviation coefficient, (W 1+W2)i is a feature value added by the first feature vector value and the second feature vector value, where i is a number by which the first feature vector value and the second feature vector value are added, i=1, 2, 3..n;
and defining fusion characteristic information corresponding to the fusion value as fusion information.
Preferably, after the step of performing the suppression control on the touch screen noise according to the fusion information, the method includes:
Acquiring noise characteristic suppression information according to the fusion information;
setting up a noise signal attenuation range according to the noise characteristic suppression information;
Judging whether the noise characteristic suppression information is in a preset range or not according to the noise signal attenuation range;
If yes, inputting the noise characteristic suppression information into a control system corresponding to the touch screen for control;
If not, the noise characteristic suppression information is input to carry out signal compensation, and the noise characteristic suppression information after the signal compensation is input to a control system corresponding to the touch screen again to control noise.
The application also provides a noise control system of the touch screen, which is characterized by comprising:
the first acquisition module is used for acquiring noise parameters of the touch screen, wherein the noise parameters comprise vibration frequency information, signal transmission information and filtering information;
a determining module, configured to determine a noise control mode according to the noise parameter, where the noise control mode includes an infinite impulse response filtering mode and a finite impulse response filtering mode;
the second acquisition module is used for acquiring feedback path information corresponding to the noise of the touch screen when the noise of the touch screen is in an infinite impulse response filtering mode, and extracting short wave noise information according to the feedback path information;
the first training module is used for inputting the short wave noise information into a recursion model for training to obtain short wave characteristic information;
The first suppression module is used for performing suppression processing on the short wave noise corresponding to the noise of the touch screen according to the short wave noise information to obtain first noise suppression information, and defining the first noise suppression information as first noise to be controlled;
The third acquisition module is used for acquiring stop band attenuation information corresponding to the noise of the touch screen when the noise of the touch screen is in a finite impulse response filtering mode, and extracting long-wave noise information according to the stop band attenuation information;
The second training module is used for inputting the long-wave noise information into a non-recursive model for training to obtain long-wave characteristic information;
The second suppression module is used for performing suppression processing on long-wave noise corresponding to the noise of the touch screen according to the long-wave characteristic information to obtain second noise suppression information;
the fusion module is used for fusing the first noise suppression information and the second noise suppression information to obtain fusion information;
and the control module is used for carrying out inhibitory control on the touch screen noise according to the fusion information.
The application also provides a computer device comprising a memory storing a computer program and a processor implementing the steps of the above method when executing the computer program.
The application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the above method.
The beneficial effects of the application are as follows: the application divides the acquired noise of the touch screen into an infinite impulse response filtering mode and a finite impulse response filtering mode through vibration frequency information, signal transmission information and filtering information, wherein the infinite impulse response filtering mode and the finite impulse response filtering mode are short wave and long wave suppression processing modes of the noise, when the noise is in the infinite impulse response filtering mode, feedback path information corresponding to the noise of the touch screen is acquired, wherein the feedback path information can be obtained through frequency spectrum analysis, the feedback path information is input into a recursive model for training, recursive structure information is obtained, the recursive model can be a recursive function, short wave noise corresponding to the noise of the touch screen is suppressed according to the recursive structure information, under the training of the recursive function, the first noise suppression information obtained by the suppression processing can be used for suppressing short wave noise corresponding to the noise of the touch screen, in a noise finite impulse response filtering mode of the touch screen, firstly, the stop band attenuation information corresponding to the noise of the touch screen is obtained, wherein the stop band attenuation information of the noise can be obtained by analyzing the frequency response and the noise suppression ratio of a filter, the stop band attenuation information is input into a non-recursive model for training, non-recursive structure information is obtained, the non-recursive model is a non-recursive function, the suppression processing is carried out on the first long wave noise corresponding to the noise to be controlled according to the non-recursive structure information, the second noise suppression information is obtained, the overall control suppression is carried out on the noise of the touch screen according to the second noise suppression information, thus the influence of the noise on the touch screen can be reduced after the overall suppression of the noise, and further, the problem that noise causes false touch on the touch screen can be avoided.
Drawings
FIG. 1 is a flow chart of a method according to an embodiment of the application.
Fig. 2 is a schematic diagram of an apparatus structure according to an embodiment of the application.
Fig. 3 is a schematic diagram illustrating an internal structure of a computer device according to an embodiment of the application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1-3, the present application provides a noise control method of a touch screen, including:
S1, acquiring noise parameters of a touch screen, wherein the noise parameters comprise vibration frequency information, signal transmission information and filtering information;
s2, determining a noise control mode according to the noise parameter, wherein the noise control mode comprises an infinite impulse response filtering mode and a finite impulse response filtering mode;
s3, when the noise of the touch screen is in an infinite impulse response filtering mode, acquiring feedback path information corresponding to the noise of the touch screen, and extracting short wave noise information according to the feedback path information;
s4, inputting the short wave noise information into a recursive model for training to obtain short wave characteristic information;
s5, performing suppression processing on short wave noise corresponding to the noise of the touch screen according to the short wave characteristic information to obtain first noise suppression information;
s6, when the noise of the touch screen is in a finite impulse response filtering mode, obtaining stop band attenuation information corresponding to the noise of the touch screen, and extracting long-wave noise information according to the stop band attenuation information;
s7, inputting the long-wave noise information into a non-recursion model for training to obtain long-wave characteristic information;
s8, suppressing long-wave noise corresponding to the noise of the touch screen according to the long-wave characteristic information to obtain second noise suppression information;
s9, fusing the first noise suppression information and the second noise suppression information to obtain fused information;
s10, performing inhibitory control on the touch screen noise according to the fusion information.
As described in the above steps S1 to S10, the noise is affected by the interaction between the user and the touch screen, if the noise of the touch screen is too large, the system may misunderstand the touch screen intentionally by the user, thereby generating misoperation, therefore, the noise of the touch screen needs to be controlled to reduce misjudgment of the system, wherein the existing long waves and short waves can be filtered through the infinite impulse response filter and the finite impulse response filter, but the filtering range of the infinite impulse response filter and the finite impulse response filter is limited by the model of the filter, the cost corresponding to the noise processed by the filter increases, and the noise of the touch screen has a certain randomness, therefore, the noise of the touch screen cannot meet the requirement of the touch screen on noise control only by the infinite impulse response filter and the finite impulse response filter, the noise of the touch screen is subjected to infinite impulse response filter mode and the finite impulse response filter mode division by vibration frequency information, signal transmission information and filter information, when in the infinite impulse response filter mode, feedback path information corresponding to the noise of the touch screen is obtained, wherein the feedback path information can be obtained, the feedback path information can be obtained through the infinite impulse response filter mode can be obtained, the current output is obtained by recursively obtaining a recursion a recursive output, the current output is obtained by recursion a recursive output, a recursive structure is obtained by inputting a recursive model, a current output is obtained by a recursive model, a current input is obtained by a recursive structure, and a current output is obtained by a recursion a current input, according to the recursion structure information, the short-wave noise corresponding to the noise of the touch screen is suppressed, so that under the training of a recursion function, the short-wave noise corresponding to the noise of the touch screen can be suppressed, and then after the noise short-wave processing, first noise suppression information is obtained, wherein the first noise suppression information is information with short-wave suppression characteristics, and the short-wave noise which affects the touch screen mostly can be controlled by the information with the short-wave suppression characteristics obtained through the training, so that the short-wave noise which can only be filtered within a certain range can not be generated by an infinite impulse response filter;
When the noise of the touch screen is in a finite impulse response filtering mode, firstly, stop band attenuation information corresponding to the noise of the touch screen is obtained, wherein the finite impulse response filtering mode does not generate a loop, so that current and past input is not required to be obtained through feedback path information, long wave characteristics of the noise can be extracted only through the stop band attenuation information, the stop band attenuation information of the noise can be obtained through analyzing the frequency response and the noise suppression ratio of a filter, the stop band attenuation information is input into a non-recursive model for training, non-recursive structure information is obtained, the non-recursive structure information is used for information extraction of long wave for controlling the noise, the non-recursive structure information is used for suppressing the noise corresponding to the noise of the touch screen according to the non-recursive structure information, second noise suppression information is obtained, the second noise suppression information is information with long wave suppression characteristics, the information can be controlled to influence the long wave noise of the touch screen in a large part, the long wave characteristics obtained through training can be controlled, the long wave characteristics can be prevented from being influenced, the long wave noise of the touch screen in a certain range can be filtered through the filter, the non-recursive structure information is input into a non-recursive structure information, the non-recursive structure information is used for controlling the noise corresponding to the noise, the noise can be prevented from being fused with the control characteristics, and the touch screen can be further, the touch screen can be prevented from being controlled to be fused, and the control characteristics can be fused, and the touch screen can be prevented from being influenced by the control system has a low noise characteristics.
In one embodiment, the step S1 of obtaining the noise parameter of the touch screen includes:
s101, acquiring noise information generated by external contact with a touch screen;
S102, acquiring corresponding time domain information according to the noise information, and extracting the time domain information to obtain a time domain value;
S103, acquiring an angular frequency value in corresponding time according to the time domain value;
S104, calculating a frequency domain value corresponding to the noise information according to the time domain value and the angular frequency value, wherein a calculation formula is as follows:
X＝∫(t*w)dt，
wherein X is a frequency domain value, t is a time domain value, and w is an angular frequency value;
s105, defining frequency information in the time corresponding to the frequency domain value as frequency domain information;
S106, extracting a magnitude spectrum according to the frequency domain information, comparing the magnitude spectrum with a preset spectrogram, obtaining the vibration frequency of noise corresponding to the magnitude spectrum, and defining vibration information corresponding to the vibration frequency as vibration frequency information.
As described in the above steps S101-S106, the existing vibration frequency information is usually measured by a vibrator, but the vibration frequency information obtained by the vibrator is usually within a specified range and needs to have a specific environment, so that it is required to perform an accurate calculation by a general mathematical model formula, because the touch screen is randomly touched, the time domain of the noise is discrete, for example, if the noise takes a value every T seconds in time and these values are the results of discrete sampling at time points, the noise is discrete, so that it is required to calculate a frequency domain value based on the discrete time domain form, and perform an integral operation by multiplying the angular frequency value and the time domain value, so that a frequency domain value can be obtained, and define the frequency information corresponding to the frequency domain value as frequency domain information, then extract a magnitude spectrum according to the frequency domain signal, compare the magnitude spectrum with a preset frequency spectrum, obtain the vibration frequency of the noise corresponding to define the vibration frequency information corresponding to the vibration frequency as vibration frequency information, and thus, the problem of the vibration frequency information can be quickly solved by setting up the mathematical model formula.
In one embodiment, after the step S101 of acquiring noise information generated by external contact with the touch screen, the method includes:
S1011, acquiring time interval information in a period corresponding to the noise information generated by the contact of the external part and the touch screen;
S1012, acquiring a transmission rate corresponding to the noise information according to the time interval value;
s1013, calculating a transmission bandwidth value according to the time interval value and the transmission rate, wherein a calculation formula is as follows:
K＝t1*s
wherein K is a transmission bandwidth value, t1 is a time interval value, and s is a transmission rate;
S1014, defining the transmission information corresponding to the transmission bandwidth value as signal transmission information.
As described in the above steps S1011-S1014, the signal transmission information may change with time, so that the transmission bandwidth value of the noise needs to be obtained by real-time calculation, but the conventional transmission bandwidth value obtaining method generally refers to the corresponding bandwidth table according to the frequency of the noise, but the transmission bandwidth value cannot be accurately calculated by using the universal bandwidth value, so that when the time interval value needs to be obtained in real time, the transmission bandwidth value is obtained by calculating the product of the time interval value and the transmission rate, and then the information corresponding to the transmission bandwidth value is defined as the signal transmission information.
In one embodiment, the step S2 of determining a noise control mode according to the noise parameter includes:
S201, calculating a filter value according to the vibration frequency corresponding to the vibration frequency information and the transmission bandwidth value corresponding to the signal transmission information, wherein the calculation formula is as follows:
F＝M-(k/2)
Wherein F is a filtering value, M is a vibration frequency, and k is a transmission bandwidth value;
s202, judging whether the filtering value meets a preset value or not;
If yes, determining that the noise control mode is an infinite impulse response filtering mode;
if not, the noise control mode is determined to be a finite impulse response filtering mode.
As described in the above steps S201-S202, when a filtering value is required, the difference obtained by subtracting the quotient of the transmission bandwidth value divided by 2 from the vibration frequency is the filtering value, the information corresponding to the filtering value is defined as filtering information, whether the noise meets the preset filtering value is determined according to the filtering value, if yes, the noise is divided into an infinite impulse response filtering mode to extract short wave information, if not, the noise is divided into a finite impulse response filtering mode to extract long wave information, and thus, the noise is divided into the infinite impulse response filtering mode and the finite impulse response filtering mode to perform classification processing, so that the short wave information extraction and the long wave information extraction can be performed rapidly and accurately according to the characteristics of the noise.
In one embodiment, the step S4 of inputting the short-wave noise information into a recursive model for training to obtain short-wave feature information includes:
s401, acquiring input end information and output end information corresponding to the noise according to the short wave noise information;
s402, inputting an input end value extracted from the input end information as a first sample value and an output end value extracted from the output end information as a second sample value into a recursive model, and outputting a recursive structure value, wherein a function of the recursive model is as follows:
f(c)＝a*f(c-1)+b*f(c-2)
wherein f (c) is a recursive structure value, a is a first sample value, and b is a second sample value; c is the time value.
S403, defining the information corresponding to the recursion structure value as short wave characteristic information.
As described in the above steps S401 to S403, when the recursive structure information needs to be acquired, the input end value extracted from the input end information is used as a first sample value and the output end value extracted from the output end information is used as a second sample value to be input into a recursive model, so as to obtain a recursive structure value, for example, in the operation process of the recursive model: the method comprises the steps of firstly obtaining a corresponding input end value and a corresponding output end value in a time value, then taking the input end value and the output end value as samples for training, multiplying a first sample value by a recursion structure value with a time value smaller than 1 in the input value to obtain a first product, multiplying a second sample value by a recursion structure value with a time value smaller than 2 in the input value to obtain a second product, then adding the first product and the second product to obtain a sum value, wherein the sum value is the recursion structure value, then defining information corresponding to the recursion structure value as short wave characteristic information, after the short wave characteristic information is obtained, a recursion model is a model formula for training short waves, and the obtained recursion structure information corresponds to short wave characteristics, so that short waves of noise can be restrained according to the short wave characteristics.
In one embodiment, the step S7 of inputting the long wave noise information into a non-recursive model for training to obtain long wave feature information includes:
s701, obtaining attenuation values corresponding to stop band attenuation information according to the long-wave noise information;
S702, inputting the attenuation value as a third sample value into a non-recursive model, and outputting a non-recursive structure value, wherein the function of the non-recursive model is as follows:
F(n)＝F(n-1)+F(n-2)，n＞2
wherein F (n) is a non-recursive structure value and n is a third sample value;
and S703, defining the information corresponding to the non-recursion structure value as long wave characteristic information.
As described in the above steps S701-S703, corresponding attenuation values are obtained according to the stop band attenuation information, and then the attenuation values are input as third sample values into a non-recursive model, and non-recursive structure values are output, and the operation process of the non-recursive model is as follows: the attenuation value is input into a function of a non-recursive model, a non-recursive structure value with a third sample value smaller than 1 in the input value and a non-recursive structure value with a third sample value smaller than 2 in the input value are added to obtain a sum, the obtained sum is input into the function of the non-recursive model again to carry out cyclic operation, whether the cyclic operation value reaches a termination value or not is required to be judged, if the cyclic operation value reaches the termination value, the operation is ended, the non-recursive structure value is obtained, if the cyclic operation is not reached, the operation is continued to be repeated, information corresponding to the non-recursive structure value is defined as non-recursive structure information, the non-recursive model is a model formula trained for long waves, and therefore the characteristics corresponding to the obtained non-recursive structure information are long wave characteristics, and further the long waves of noise can be restrained according to the non-recursive structure information.
In one embodiment, the step S9 of fusing the first noise suppression information and the second noise suppression information to obtain fused information includes:
S901, extracting feature vectors of the first noise suppression information for a plurality of times to obtain a plurality of first feature vector values;
S902, extracting feature vectors of the second noise suppression information for a plurality of times to obtain a plurality of second feature vector values;
S903, inputting a plurality of first feature vector values and a plurality of second feature vector values into a feature fusion model as a fourth training sample, and outputting a fusion value, wherein the formula of a function of the feature fusion model is as follows:
E is a fusion value, W 1 is a first feature vector value, W 2 is a second feature vector value, ω is a feature deviation coefficient, (W 1+W2)i is a feature value added by the first feature vector value and the second feature vector value, where i is a number by which the first feature vector value and the second feature vector value are added, i=1, 2, 3..n;
S904, defining fusion characteristic information corresponding to the fusion value as fusion information.
As described in the above steps S901-S904, the first noise suppression information is extracted by multiple feature vectors to obtain multiple first feature vector values, then the second noise suppression information is extracted by multiple feature vectors to obtain multiple second feature vector values, and then products are obtained by multiplying the sum of the first feature vector values and the second feature vector values by the feature deviation coefficient to obtain products, and then the products are summed to obtain a fusion value, and then fusion feature information corresponding to the fusion value is defined as fusion information, so that the noise affecting the touch screen can be comprehensively suppressed by the fusion information.
In one embodiment, after the step of performing the suppression control on the touch screen noise according to the fusion information, the method includes:
s11, acquiring noise characteristic suppression information according to the fusion information;
s12, setting a noise signal attenuation range according to the noise characteristic suppression information;
S13, judging whether the noise characteristic suppression information is in a preset range or not according to the noise signal attenuation range;
If yes, inputting the noise characteristic suppression information into a control system corresponding to the touch screen for control;
If not, inputting the noise characteristic suppression information to perform signal compensation, and inputting the specified suppression information after the signal compensation to a control system corresponding to the touch screen again to control noise.
As described in the above steps S11-S13, the mixer is configured to combine the first noise suppression information with the second noise suppression information, generate the specific suppression information of the noise in the specific frequency range according to the combined information, and set up a noise signal attenuation range for the specific suppression information, so as to compensate the low-frequency attenuation information affecting the touch screen, further, identify and suppress the low-frequency attenuation information by compensating, so that the low-frequency attenuation information cannot be identified, and the specific suppression information can be input into the control system corresponding to the touch screen for control, and then the control system corresponding to the touch screen can perform suppression identification control on the noise according to the suppression information.
The application also provides a noise control system of the touch screen, which comprises:
the first acquisition module 1 is used for acquiring noise parameters of the touch screen, wherein the noise parameters comprise vibration frequency information, signal transmission information and filtering information;
a determining module 2, configured to determine a noise control mode according to the noise parameter, where the noise control mode includes an infinite impulse response filtering mode and a finite impulse response filtering mode;
The second acquisition module 3 is used for acquiring feedback path information corresponding to the noise of the touch screen when the noise of the touch screen is in an infinite impulse response filtering mode, and extracting short wave noise information according to the feedback path information;
The first training module 4 is used for inputting the short-wave noise information into a recursion model for training to obtain short-wave characteristic information;
the first suppression module 5 is configured to perform suppression processing on short-wave noise corresponding to the noise of the touch screen according to the short-wave characteristic information, obtain first noise suppression information, and define the first noise suppression information as first noise to be controlled;
A third obtaining module 6, configured to obtain stop band attenuation information corresponding to noise of the touch screen when the noise of the touch screen is in a finite impulse response filtering mode, and extract long wave noise information according to the stop band attenuation information;
The second training module 7 is used for inputting the long-wave noise information into a non-recursive model for training to obtain long-wave characteristic information;
The second suppression module 8 is configured to perform suppression processing on long-wave noise corresponding to the noise of the touch screen according to the long-wave characteristic information, so as to obtain second noise suppression information;
the fusion module 9 is configured to fuse the first noise suppression information and the second noise suppression information to obtain fusion information;
And the control module 10 is used for performing inhibitory control on the touch screen noise according to the fusion information.
As shown in fig. 3, the present application also provides a computer device, which may be a server, and the internal structure of which may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The memory provides an environment for the operation of an operating system and computer programs in a non-volatile storage medium, and the database of the computer device is used for all data required by the process of a noise control method of a touch screen. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method of noise control of a touch screen.
It will be appreciated by those skilled in the art that the architecture shown in fig. 3 is merely a block diagram of a portion of the architecture in connection with the present inventive arrangements and is not intended to limit the computer devices to which the present inventive arrangements are applicable.
An embodiment of the present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a noise control method of any one of the above touch screens,
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided by the present application and used in embodiments may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes using the teachings of the present invention and the accompanying drawings, or direct or indirect application in other related arts, are included in the scope of the present invention
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functionality of each of the units may be implemented in one or more of software and/or hardware when implementing the application, as will be appreciated by those skilled in the art(s) embodiments of the application may be provided as a method, system or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flowchart and/or block of the flowchart illustrations and/or block diagrams, and combinations of flowcharts and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Claims (11)
1. A noise control method for a touch screen, comprising:
Acquiring noise parameters of the touch screen, wherein the noise parameters comprise vibration frequency information, signal transmission information and filtering information;
Determining a noise control mode according to the noise parameter, wherein the noise control mode comprises an infinite impulse response filtering mode and a finite impulse response filtering mode;
When the noise of the touch screen is in an infinite impulse response filtering mode, acquiring feedback path information corresponding to the noise of the touch screen, and extracting short wave noise information according to the feedback path information;
inputting the short wave noise information into a recursion model for training to obtain short wave characteristic information;
Performing suppression processing on short wave noise corresponding to the noise of the touch screen according to the short wave characteristic information to obtain first noise suppression information;
When the noise of the touch screen is in a finite impulse response filtering mode, obtaining stop band attenuation information corresponding to the noise of the touch screen, and extracting long-wave noise information according to the stop band attenuation information;
inputting the long-wave noise information into a non-recursive model for training to obtain long-wave characteristic information;
performing suppression processing on long-wave noise corresponding to the noise of the touch screen according to the long-wave characteristic information to obtain second noise suppression information;
Fusing the first noise suppression information and the second noise suppression information to obtain fused information;
And performing inhibitory control on the touch screen noise according to the fusion information.
2. The method for controlling noise of a touch screen according to claim 1, wherein the step of acquiring noise parameters of the touch screen comprises:
acquiring noise information generated by external contact with a touch screen;
Acquiring corresponding time domain information according to the noise information, and extracting the time domain information to obtain a time domain value;
acquiring an angular frequency value in corresponding time according to the time domain value;
and calculating a frequency domain value corresponding to the noise information according to the time domain value and the angular frequency value, wherein a calculation formula is as follows:
X＝∫(t*w)dt，
wherein X is a frequency domain value, t is a time domain value, and w is an angular frequency value;
Defining frequency information in the time corresponding to the frequency domain value as frequency domain information;
and extracting a magnitude spectrum according to the frequency domain information, comparing the magnitude spectrum with a preset spectrogram, obtaining the vibration frequency of noise corresponding to the magnitude spectrum, and defining vibration information corresponding to the vibration frequency as vibration frequency information.
3. The method for controlling noise of a touch screen according to claim 2, wherein after the step of acquiring noise information generated by external contact with the touch screen, comprising:
acquiring time interval information in a period corresponding to the noise information generated by the contact of the external part and the touch screen;
Extracting the time interval information to obtain a time interval value;
acquiring a transmission rate corresponding to the noise information according to the time interval value;
calculating a transmission bandwidth value according to the time interval value and the transmission rate, wherein a calculation formula is as follows:
K＝t1*s
wherein K is a transmission bandwidth value, t1 is a time interval value, and s is a transmission rate;
And defining the transmission information corresponding to the transmission bandwidth value as signal transmission information.
4. The method of claim 1, wherein the step of determining a noise control pattern according to the noise parameter comprises:
calculating a filtering value according to the vibration frequency corresponding to the vibration frequency information and the transmission bandwidth value corresponding to the signal transmission information, wherein the calculating formula is as follows:
F＝M-(k/2)
Wherein F is a filtering value, M is a vibration frequency, and k is a transmission bandwidth value;
judging whether the filtering value meets a preset value or not;
If yes, determining that the noise control mode is an infinite impulse response filtering mode;
if not, the noise control mode is determined to be a finite impulse response filtering mode.
5. The method for controlling noise of a touch screen according to claim 1, wherein the step of inputting the short wave noise information into a recursive model for training to obtain short wave characteristic information includes:
acquiring input end information and output end information corresponding to the noise according to the short wave noise information;
The input end value extracted by the input end information is used as a first sample value, the output end value extracted by the output end information is used as a second sample value, the input end value is input into a recursion model, and a recursion structure value is output, wherein the function of the recursion model is as follows:
f(c)＝a*f(c-1)+b*f(c-2)
Wherein f (c) is a recursive structure value, a is a first sample value, b is a second sample value, and c is a time value;
And defining the shortwave information corresponding to the recursion structure value as shortwave characteristic information.
6. The method for controlling noise of a touch screen according to claim 1, wherein the step of inputting the long wave noise information into a non-recursive model for training to obtain the long wave characteristic information comprises:
obtaining attenuation values corresponding to the attenuation information of the stop band according to the long-wave noise information;
Inputting the attenuation value as a third sample value into a non-recursive model, and outputting a non-recursive structure value, wherein the function of the non-recursive model is as follows:
F(n)＝F(n-1)+F(n-2)，n＞2
wherein F (n) is a non-recursive structure value and n is a third sample value;
and defining the long wave information corresponding to the non-recursion structure value as long wave characteristic information.
7. The method for controlling noise of a touch screen according to claim 1, wherein the step of fusing the first noise suppression information and the second noise suppression information to obtain fused information includes:
extracting feature vectors of the first noise suppression information for a plurality of times to obtain a plurality of first feature vector values;
Extracting feature vectors of the second noise suppression information for a plurality of times to obtain a plurality of second feature vector values;
Inputting a plurality of first feature vector values and a plurality of second feature vector values into a feature fusion model as a fourth training sample, and outputting a fusion value, wherein the formula of a function of the feature fusion model is as follows:
E is a fusion value, W 1 is a first feature vector value, W 2 is a second feature vector value, ω is a feature deviation coefficient, (W 1+W2)i is a feature value added by the first feature vector value and the second feature vector value, where i is a number by which the first feature vector value and the second feature vector value are added, i=1, 2, 3..n;
and defining fusion characteristic information corresponding to the fusion value as fusion information.
8. The method for controlling noise of a touch screen according to claim 1, wherein after the step of performing the inhibitory control on the touch screen noise according to the fusion information, the method comprises:
Acquiring noise characteristic suppression information according to the fusion information;
setting up a noise signal attenuation range according to the noise characteristic suppression information;
Judging whether the noise characteristic suppression information is in a preset range or not according to the noise signal attenuation range;
If yes, inputting the noise characteristic suppression information into a control system corresponding to the touch screen for control;
if not, the noise characteristic suppression information is subjected to signal compensation, and the noise characteristic suppression information subjected to signal compensation is input into a control system corresponding to the touch screen again to control noise.
9. A noise control system for a touch screen, comprising:
the first acquisition module is used for acquiring noise parameters of the touch screen, wherein the noise parameters comprise vibration frequency information, signal transmission information and filtering information;
a determining module, configured to determine a noise control mode according to the noise parameter, where the noise control mode includes an infinite impulse response filtering mode and a finite impulse response filtering mode;
the second acquisition module is used for acquiring feedback path information corresponding to the noise of the touch screen when the noise of the touch screen is in an infinite impulse response filtering mode, and extracting short wave noise information according to the feedback path information;
the first training module is used for inputting the short wave noise information into a recursion model for training to obtain short wave characteristic information;
the first suppression module is used for performing suppression processing on short wave noise corresponding to the noise of the touch screen according to the short wave characteristic information to obtain first noise suppression information, and defining the first noise suppression information as first noise to be controlled;
The third acquisition module is used for acquiring stop band attenuation information corresponding to the noise of the touch screen when the noise of the touch screen is in a finite impulse response filtering mode, and extracting long-wave noise information according to the stop band attenuation information;
The second training module is used for inputting the long-wave noise information into a non-recursive model for training to obtain long-wave characteristic information;
The second suppression module is used for performing suppression processing on long-wave noise corresponding to the noise of the touch screen according to the long-wave characteristic information to obtain second noise suppression information;
the fusion module is used for fusing the first noise suppression information and the second noise suppression information to obtain fusion information;
and the control module is used for carrying out inhibitory control on the touch screen noise according to the fusion information.
10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 8 when the computer program is executed.
11. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 8.
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