TWI763408B - Signal optimizing method, electronic device, and storage chipthereof - Google Patents

Abstract

The present disclosure relates to a signal optimizing method, an electronic device and a storage chip applied the method. The method divides detecting paths into several detecting regions. At least one common detecting path is set. In any two different periods, the at least one detecting path is scanned. The detecting path and the at least one common path are scanned in a time-shared manner to obtain scan data. The scan data includes a driving signal and a noise signal. The scan data corresponding to the at least one common detecting path is normalized to obtain a noise reference value. The noise reference value is a noise signal in one detecting region. After the normalizing processing, the noise signal in each detecting region is normalized to be related to the noise reference value. The noise in the scan data is reduced according to the noise reference value. A difficulty in a noise reducing of the scan data is optimized.

Description

Signal optimization method, electronic device and memory chip

The invention relates to a signal optimization method, an electronic device and a memory chip.

With the continuous development of electronic technology, data processing of electronic devices such as mobile phones, portable computers, personal digital assistants (PDAs), tablet computers, and media players usually includes detection and analysis processing. During operation, interference occurs between different electronic components, which in turn makes the detected signal often noisy. For the signals detected by the time-sharing method, there may be large differences in noise between the signals collected at different times, which makes the analysis and processing of the collected signals more complicated, and it is impossible to filter the noise simply and quickly. remove operation.

It is necessary to provide a signal optimization method, an electronic device and a storage chip, which aim to solve the technical problems of large differences between collected signals and complicated noise reduction processing in the time-sharing detection process in the prior art.

A signal optimization method is applied to an electronic device; the electronic device comprises a plurality of detection channels, at least one processor and a storage chip; the processor implements the following steps when executing a computer program stored in the storage chip: dividing the detection channel to form a plurality of detection areas; at least one common detection channel is set; the common detection channel is scanned at at least two different detection moments; The detection channel and the common detection channel are scanned in a time-division scanning manner to obtain scanning data; wherein, the scanning data includes a driving signal and a noise signal; Normalizing the scanning data corresponding to at least two different detection times of the common detection channel to obtain a noise reference value; the noise reference value is a noise signal in a certain detection area ; After the normalization process, the noise signal of each described detection area is all normalized to be associated with the noise reference value; Noise reduction processing is performed on the scanned data according to the noise reference value, so as to optimize the noise reduction processing difficulty of the scanned data.

An electronic device includes a plurality of detection channels, at least one processor and a storage chip; when the processor is used to execute a computer program stored in the storage chip, the following steps are implemented: dividing the detection channel to form a plurality of detection areas; at least one common detection channel is set; the common detection channel is scanned at at least two different detection moments; The detection channel and the common detection channel are scanned in a time-division scanning manner to obtain scanning data; wherein, the scanning data includes a driving signal and a noise signal; Normalizing the scanning data corresponding to at least two different detection times of the common detection channel to obtain a noise reference value; the noise reference value is a noise signal in a certain detection area ; After the normalization process, the noise signal of each described detection area is all normalized to be associated with the noise reference value; Noise reduction processing is performed on the scanned data according to the noise reference value, so as to optimize the noise reduction processing difficulty of the scanned data.

A storage chip, the storage chip is a computer-readable storage chip and stores at least one instruction, and the at least one instruction is executed by a processor to achieve the following steps: dividing the detection channel to form a plurality of detection areas; at least one common detection channel is set; the common detection channel is scanned at at least two different detection moments; The detection channel and the common detection channel are scanned in a time-division scanning manner to obtain scanning data; wherein, the scanning data includes a driving signal and a noise signal; Normalizing the scanning data corresponding to at least two different detection times of the common detection channel to obtain a noise reference value; the noise reference value is a noise signal in a certain detection area ; After the normalization process, the noise signal of each described detection area is all normalized to be associated with the noise reference value; Noise reduction processing is performed on the scanned data according to the noise reference value, so as to optimize the noise reduction processing difficulty of the scanned data.

In the above signal optimization method, electronic device and storage chip, by setting a common detection channel, and the common detection channel is scanned at at least two detection times, noise is obtained by normalizing the scanning data corresponding to the common detection channel The reference value is used to correlate the noise between different detection areas, thereby optimizing the noise reduction processing difficulty of the scanned data.

In order to make those skilled in the art better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only Embodiments are part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

The terms "first", "second" and "third" in the description of the present invention and the above-mentioned drawings are used to distinguish different items, rather than to describe a specific order. Furthermore, the term "comprising" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or modules is not limited to the listed steps or modules, but may optionally also include unlisted steps or modules, or alternatively It also includes other steps or modules inherent to these processes, methods, products or devices.

The specific embodiments of the signal optimization method and system of the present invention will be described below with reference to the accompanying drawings.

Please refer to FIG. 1 , which is a schematic perspective view of an electronic device 1 according to an embodiment of the present invention. In at least one embodiment of the present invention, the electronic device 1 may be a personal computer, a tablet computer, a smart phone, a Personal Digital Assistant (PDA), a game console, or an Internet Protocol Television (Internet Protocol Television, Mobile devices such as IPTV), smart wearable devices, navigation devices, etc., can also be fixed devices such as desktop computers, servers, digital TVs, etc. The electronic device 1 may have one or a combination of a touch function, a fingerprint recognition function, and a camera function.

The electronic device 1 includes a cover plate 11 and a first functional layer 12 .

The cover plate 11 may be a glass substrate, or other transparent substrates with high strength and high hardness. In at least one embodiment of the present invention, the cover plate 11 can be made of, for example, polycarbonate (Polycarbonate, PC), polyester (Polythylene terephthalate, PET), polymethylmethacrylate (Polymethylmethacrylate, PMMA), cycloolefin Copolymer (Cyclic Olefin Copolymer, COC) or polyether sulfone (Polyether sulfone, PES) and other materials.

The first functional layer 12 is used for recognizing the user's touch operation and/or biometric features. In at least one embodiment of the present invention, the first functional layer 12 may be a touch layer (not shown) to identify at least one of a user's touch position and touch strength or a combination of the two. The first functional layer 12 is made of conductive material, and can be patterned to form a plurality of first touch electrodes 120 (as shown in FIG. 3 ). At the same time, the first functional layer 12 may also be a biometric identification layer (not shown), so as to identify the user's biometrics. In at least one embodiment of the present invention, the biometric feature may be a fingerprint, a human face, an iris, etc., but is not limited thereto. The first functional layer 12 may also be patterned to form a plurality of sensing electrodes (not shown).

The electronic device 1 further includes a second functional layer 14 . The second functional layer 14 is used for displaying image information. In at least one embodiment of the present invention, the second functional layer 14 may be a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) Organic light emitting diode (OLED) display layer, organic light emitting diode (Micro Organic light emitting diode, OLED) display layer, electrophoretic display layer, etc., but not limited thereto. The second functional layer 14 is made of conductive material, and can be patterned to form a plurality of picture element electrodes. In other embodiments, the second functional layer 14 may further form a plurality of photosensitive elements (not shown), such as a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (Complementary Metal-Oxide-Semiconductor). , CMOS) components to sense changes in light and generate responsive signals (not shown).

Further, the electronic device 1 further includes a plurality of detection channels 16 . In at least one embodiment of the present invention, the detection channel 16 can be configured as different structures in the electronic device 1 according to requirements. In this embodiment, the detection channels 16 may be touch electrodes in the first functional layer 12 , sensing electrodes in the first functional layer 12 , and graphic elements in the second functional layer 14 . electrodes, photosensitive elements in the second functional layer 14, and the like.

Please refer to FIG. 2 and FIG. 3 together, which are a schematic diagram of a module of the electronic device 1 and a schematic diagram of a module of the detection channel 16 . The electronic device 1 further includes a processor 20 and a memory chip 30 . The processor 20 is used to implement various functions when executing computer programs stored in the memory chip 30 . Specifically, the processor 20 divides the detection channel 16 into a plurality of detection areas 101 according to a predetermined rule, and sets at least one common detection channel 18 . The common detection channel 18 is scanned at at least two different detection instants. In at least one embodiment of the present invention, the common detection channel 18 and the detection channel 16 have the same structure. For example, when the detection channel 16 is a touch electrode, the common detection channel 18 is also a touch electrode; when the detection channel 16 is a fingerprint sensing electrode, the common detection channel 18 is also a fingerprint Sensing electrode; when the detection channel 16 is a picture element electrode, the common detection channel 18 is also a picture element electrode; when the detection channel 16 is a sensor electrode, the common detection channel 18 is also a sensor electrode electrode. The predetermined rule may be set differently according to the working principle of the electronic device 1 .

The processor 20 scans the detection channel 16 and the common detection channel 18 according to a specified sequence in a time-division scanning manner, and obtains the scan data. Wherein, the scanning data includes driving signals and noise signals. The processor 20 further performs normalization processing according to a plurality of the scanning data corresponding to the common detection channel 18 at different detection times to obtain a noise reference value, and the processor 20 determines a noise reference value according to the noise reference value The scanning data corresponding to each of the detection channels 16 and each of the common detection channels 18 are subjected to noise reduction processing.

Embodiment 1

Please also refer to FIG. 3 , which is a schematic diagram of a module of the detection area 101 and the common detection channel 18 in the first embodiment. In this embodiment, the electronic device 1 includes first to third detection regions 101 a - 101 c and one of the common detection channels 18 . The detection channels 16 located in the same detection area 101 are arranged adjacent to each other. The common detection channel 18 is disposed on the upper edge of the detection area 101 . In other embodiments, the common detection channel 18 may also be arranged between any two detection areas 101 , or at the bottom, left or right side of the detection area 101 , which is not limited thereto.

Specifically, the processor 20 calculates the scan data difference value Br between two different detection times according to the scan data Scan(n) corresponding to each of the common detection channels 18 , and for all the scan data differences The value Br is normalized to obtain the noise reference value. The scan data Scan(n) is calculated according to the following formula 1. Scan(n)=Signal(n)+Noise(n) Formula 1

Among them, Scan represents the scan signal; Signal represents the valid signal; Niose represents the noise signal; Scan(n) represents the scan signal at the nth time; Scan(n) represents the scan signal at the nth time; Noise(n) represents the nth time. noise signal.

At the first detection moment, the processor 20 simultaneously scans the detection channel 16 and the common detection channel 18 in the first detection area 101a to obtain the corresponding scan data SCAN1. At the second detection moment, the processor 20 simultaneously scans the detection channel 16 and the common detection channel 18 in the second detection area 101b to obtain the corresponding scan data SCAN2. The processor 20 calculates the scan data difference Br1 of the common detection channel 18 at the first detection moment and the second detection moment. At the third detection moment, the processor 20 simultaneously scans the detection channel 16 and the common detection channel 18 in the third detection area 101c and obtains the corresponding scan data SCAN3. The processor 20 calculates the scan data difference Br2 of the common detection channel 18 at the second detection time and the third detection time.

表示有效信號的頻率；

表示雜訊信號的頻率；當

時，多次掃描有效信號的差異可以忽略不計。即存在以下關係：

(

)

Indicates the frequency of a valid signal;

represents the frequency of the noise signal; when

, the difference in the valid signal across multiple sweeps is negligible. That is, the following relationship exists:

(

)

The normalization process is to sum up all the scan data difference values Br.

which results in:

It can be seen from the above formula that the noise of each detection area 101 is normalized to be associated with the noise Noise(n) in the last detection area 101 . That is, the noise difference between each of the detection regions 101 at different detection times is eliminated.

When the detection channel 16 and the common detection channel 18 in the electronic device 1 are touch electrodes, the common detection channel 18 is composed of a plurality of touch electrodes arranged in a row and in series.

In this embodiment, the processor 20 scans the plurality of detection channels 16 and the common detection channel 18 in the plurality of detection areas 101 according to a specified sequence. Wherein, the specified order may be from top to bottom according to the arrangement order. The designated order can also be set according to the needs of the user. For example, the scanning order can also be that after scanning the detection channels 16 located in the detection areas 101 at both ends in sequence, and then scanning the detection channels 16 located in the middle. The detection channel 16 in the detection area 101 is scanned. Taking FIG. 3 as an example, the processor 20 may scan the detection channel 16 and the common detection channel 18 in the first detection area 101a at the first detection time, and scan the third detection channel 18 at the second detection time. The detection channel 16 and the common detection channel 18 in the first detection area 101c are scanned, and the detection channel 16 and the common detection channel in the second detection area 101b are scanned at the third detection time. 18 to scan.

Embodiment 2

Please also refer to FIG. 4 , which is a schematic diagram of a module of the detection area 101 and the common detection channel 18 in the second embodiment. The electronic device 1 of the second embodiment has the same structure as the electronic device 1 of the first embodiment. That is to say, the description of the electronic device 1 described in the first embodiment is basically applicable to the electronic device 1 of the second embodiment, and the main difference between the two is that the electronic device 1 is located in the detection area. The detection channels 16 in 101 are arranged at equal intervals. Each of the detection channels 16 is separated by the detection channels 16 located in the other detection regions 101 . In this embodiment, between two adjacent detection channels 16 located in the first detection area 101, there is one located in the second detection area 101 and one located in the third detection area. The detection channel 16 in 101 .

Embodiment 3

Please also refer to FIG. 5 , which is a schematic diagram of a module of the detection area 101 and the common detection channel 18 in the third embodiment. The electronic device 1 of the third embodiment has the same structure as the electronic device 1 of the first embodiment. That is to say, the descriptions of the electronic device 1 described in the first embodiment are basically applicable to the electronic device 1 of the third embodiment, and the main difference between the two is that the electronic device 1 A first common detection channel 18a and a second common detection channel 18b are included. The first common detection channel 18a and the second common detection channel 18b are respectively disposed between two adjacent detection areas 101 . In this embodiment, the first common detection channel 18a is provided between the first detection region 101a and the second detection region 101b, and the second common detection channel 18b is provided between the second detection region 101b and the second detection region 101b. between the third detection regions 101c.

In this embodiment, the processor 20 scans a plurality of the detection channels 16 and at least one of the common detection channels 18 in the plurality of detection areas 101 according to a specified sequence. Wherein, the specified order may be from top to bottom according to the arrangement order. The designated order can also be set according to the needs of the user. For example, the scanning order can also be that after scanning the detection channels 16 located in the detection areas 101 at both ends in sequence, and then scanning the detection channels 16 located in the middle. The detection channel 16 in the detection area 101 is scanned. Taking FIG. 6 as an example, the processor 20 may scan the detection channel 16 and the first common detection channel 18a in the first detection area 101a at the first detection time, and scan the detection channel 18a in the first detection area 101a at the second detection time. The detection channel 16, the first common detection channel 18a and the second common detection channel 18b in the second detection area 101b are scanned, and the third detection area 101c is scanned at the third detection time. The inner detection channel 16 and the second common detection channel 18b are scanned.

Embodiment 4

Please also refer to FIG. 6 , which is a schematic diagram of a module of the detection area 101 , the common detection channel 18 and the processor 20 in the fourth embodiment. The electronic device 1 of the fourth embodiment has the same structure as the electronic device 1 of the third embodiment. That is to say, the description of the electronic device 1 described in the third embodiment is basically applicable to the electronic device 1 of the fourth embodiment, and the main difference between the two is: the description of the third embodiment The electronic device described above is a self-capacitive touch electronic device, and the electronic device 1 in this embodiment is a mutual capacitive touch electronic device. The electronic device 1 includes a plurality of first touch electrodes 120 arranged parallel to each other and second touch electrodes 140 arranged perpendicular to the first touch electrodes 120 . Each of the detection channels 16 is one of the first touch electrodes 120 . In this embodiment, the detection channel 16 , the first common detection channel 18 a and the second common detection channel 18 b are all touch drive electrodes. When the detection channel 16 in the first detection area 101a is scanned, the first common detection channel 18a is scanned together; when the detection channel 16 in the second detection area 101b is scanned , the first common detection channel 18a and the second common detection channel 18b are scanned together. When the detection channel 16 in the third detection area 101c is scanned, the second common detection channel 18b is scanned. When the second touch electrodes 140 are scanned, neither the first common detection channel 18a nor the second common detection channel 18b is scanned. At this time, the second touch electrodes 140 are used as shielding layers, and the same signal is loaded on each of the second touch electrodes 140 , or each of the second touch electrodes 140 is suspended. In this embodiment, the processor 20 is electrically connected to the first touch electrodes 120 through the first traces 102 , and is electrically connected to the second touch electrodes 140 through the second traces 104 . .

Embodiment 5

Please also refer to FIG. 7 , which is a schematic diagram of a module of the detection area 101 , the common detection channel 18 and the processor 20 in the fifth embodiment. The electronic device 1 of the fifth embodiment has the same structure as the electronic device 1 of the first embodiment. That is to say, the descriptions of the electronic device 1 described in the first embodiment are basically applicable to the electronic device 1 of the fifth embodiment, and the main difference between the two is that the electronic device 1 It is a self-capacitive touch electronic device. The electronic device 1 includes a plurality of first touch electrodes 120 arranged in a matrix. The processor 20 is electrically connected to the first touch electrodes 120 through the first wires 102 . The processor 20 divides the first touch electrodes 120 along the extending direction of the first traces 102 to form the detection channel 16 . A plurality of the detection channels 16 are symmetrically arranged on both sides of the common detection channel 18 . That is, the electronic device 1 includes a first detection area 101a and a second detection area 101b.

Embodiment 6

Please also refer to FIG. 8 , which is a schematic diagram of a module of the detection area 101 , the common detection channel 18 , and the processor 20 in the sixth embodiment. The electronic device 1 of the sixth embodiment has the same structure as the electronic device 1 of the fifth embodiment. That is to say, the descriptions of the electronic device 1 described in the fifth embodiment are basically applicable to the electronic device 1 of the sixth embodiment, and the main difference between the two is that the electronic device 1 It includes a plurality of first touch electrodes 120 arranged in a matrix. Each of the first touch electrodes 120 includes a first sub-electrode 121 and a second sub-electrode 123 . Both the first sub-electrode 121 and the second sub-electrode 123 are substantially triangular. The first sub-electrodes 121 and the second sub-electrodes 123 are arranged complementary to form the quadrangular first touch electrodes 120 . Each of the first sub-electrodes 121 and each of the second sub-electrodes 123 respectively constitute one of the detection channels 16 . The common detection channel 18 is two of the first touch electrodes 120 . A plurality of the detection channels 16 are symmetrically arranged on both sides of the common detection channel 18 . That is, the electronic device 1 includes a first detection area 101 a and a second detection area 101 b , and the two are symmetrically arranged relative to the common detection channel 18 .

In this embodiment, the value of Br1 is equal to the average value or the summed value of the signals of the two first touch electrodes 120 of the common detection channel 18 at the first moment, and the value of Br2 is equal to the two signals of the common detection channel 18 at the second moment. The average value or the sum value of the signals of the first touch electrodes 120 .

Embodiment 7

Please also refer to FIG. 9 , which is a schematic diagram of a module of the detection area 101 , the common detection channel 18 and the processor 20 in the seventh embodiment. The electronic device 1 of the seventh embodiment has the same structure as the electronic device 1 of the fourth embodiment. That is to say, the descriptions of the electronic device 1 described in the fourth embodiment are basically applicable to the electronic device 1 of the seventh embodiment, and the main difference between the two is that the electronic device 1 It is a self-capacitance and mutual-capacity integrated touch display device. The electronic device 1 includes a plurality of first touch electrodes 120 arranged parallel to each other and second touch electrodes 140 arranged perpendicular to the first touch electrodes 120 . The electronic device 1 includes a plurality of first detection channels 16a and a plurality of second detection channels 16b. Each of the first detection channels 16a is one of the first touch electrodes 120 . Each of the second detection channels 16b is one of the second touch electrodes 140 . The electronic device 1 includes first to fourth detection regions 101a-101d. Wherein, the first detection area 101a and the second detection area 101b are extended along the first direction, and the third detection area 101c and the fourth detection area 101d are along the second detection area perpendicular to the first direction Orientation extension settings. The electronic device 1 further includes a first common detection channel 18a and a second common detection channel 18b. The first common detection channel 18a and the second common detection channel 18b are vertically arranged. The first common detection channel 18a is formed by two of the first touch electrodes 120 arranged in parallel. The second common detection channel 18b is formed by two of the second touch electrodes 140 arranged in parallel. When the first detection channel 16a in the first detection area 101a is scanned, the first common detection channel 18a is also scanned; the first detection channel in the second detection area 101b When 16a is scanned, the first common detection channel 18a is also scanned. When the second detection channel 16b in the third detection area 101c is scanned, the second common detection channel 18b is scanned. When the second detection channel 16b in the fourth detection area 101d is scanned, the second common detection channel 18b is scanned. In this embodiment, the processor 20 is electrically connected to the first touch electrodes 120 through the first traces 102 , and is electrically connected to the second touch electrodes 140 through the second traces 104 . .

In this embodiment, when the first touch electrodes 120 are driven, the value of Br1 is equal to the average value or the summation value of the signals of the two first touch electrodes 120 of the first common detection channel 18a at the first moment, The value of Br2 is equal to the average value or the summation value of the signals of the two first touch electrodes 120 of the first common detection channel 18a at the second moment.

When the second touch electrodes 140 are driven, the value of Br1 is equal to the average value or summation value of the signals of the two second touch electrodes 140 of the second common detection channel 18b at the first moment, and the value of Br2 is equal to the first time. The average value or the summation value of the signals of the two second touch electrodes 140 of the second common detection channel 18b at two moments.

In the above-mentioned electronic device 1, by setting the common detection channel 18, and the common detection channel 18 is scanned at at least two detection times, by normalizing the scanning data corresponding to the public detection channel 18 The noise reference value is obtained by the chemical processing, and the noise between different detection areas has been correlated, thereby optimizing the noise reduction processing difficulty of the scanned data.

Please refer to FIG. 10 , which is a flowchart illustrating a signal optimization method. The signal optimization method is applied to the electronic device 1 corresponding to the first embodiment to the seventh embodiment. The electronic device 1 includes a plurality of detection channels 16 , at least one processor 20 and a memory chip 30 .

S10. The processor 20 divides the detection channel 16 into a plurality of detection areas 101 according to a predetermined rule.

S11. The processor 20 sets at least one common detection channel 18.

S12. The processor 20 scans the detection channel and the common detection channel in a time-division scanning manner to obtain scan data.

Wherein, the common detection channel 18 is scanned at two different detection times. The scanning data includes driving signals and noise signals.

S13. The processor 20 performs normalization processing on the scan data corresponding to each of the common detection channels 18 at at least two different detection times to obtain a noise reference value.

Wherein, the noise reference value is a noise signal in a certain detection area. After the normalization process, the noise signal of each of the detection regions is normalized to be associated with the noise reference value.

S14. The processor 20 performs noise reduction processing on the scanned data according to the noise reference value, so as to optimize the difficulty of noise reduction processing on the scanned data.

In the above-mentioned signal optimization method, the common detection channel 18 is set, and the common detection channel 18 is scanned at at least two detection times, and the scanning data corresponding to the common detection channel 18 is normalized The noise reference value is obtained by the chemical processing, and the noise between different detection areas has been correlated, thereby optimizing the noise reduction processing difficulty of the scanned data.

The signal optimization method created and proposed by the present invention can be applied to electronic devices such as capacitive touch chips, capacitive fingerprint chips, optical fingerprint chips, CMOS/CCD camera chips, etc. which adopt time-sharing detection and require high noise reduction of data. middle.

It should be noted that, for the sake of simple description, the foregoing method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence. As in accordance with the present invention, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the device implementations described above are only schematic. For example, the division of the modules is only a logical function division. In actual implementation, there may be other divisions. For example, multiple modules or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or modules, and may be electrical or other forms.

The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or may be distributed to multiple networks. on the road module. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

It should also be noted that, herein, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements , but also other elements not expressly listed or inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element.

As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand: The technical solutions described in the embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

To sum up, the present invention complies with the requirements of an invention patent, and a patent application can be filed in accordance with the law. However, the above descriptions are only the preferred embodiments of the present invention, and for those who are familiar with the techniques of this case, equivalent modifications or changes made in accordance with the creative spirit of this case should be included within the scope of the following patent application.

1: Electronic device 11: Cover 12: The first functional layer 120: The first touch electrode 121: The first sub-electrode 123: Second sub-electrode 140: The second touch electrode 14: The first functional layer 16: Detection channel 16a: The first detection channel 16b: Second detection channel 101: Detection area 101a: first detection area 101b: Second detection area 101c: The third detection area 101d: Fourth detection area 18: Common detection channel 18a: The first common detection channel 18b: Second common detection channel 102: The first line 104: Second trace 20: Processor 30: Storage chip S10-S14: Steps

FIG. 1 is a three-dimensional schematic diagram of an electronic device of the present invention.

FIG. 2 is a schematic diagram of a module of the electronic device shown in FIG. 1 .

FIG. 3 is a schematic diagram of a module of a detection channel and a common detection channel in the electronic device according to the first embodiment of FIG. 1 .

FIG. 4 is a schematic diagram of a module of a detection channel and a common detection channel in the electronic device according to the second embodiment of FIG. 1 .

FIG. 5 is a schematic diagram of a module of a detection channel and a common detection channel in the electronic device according to the third embodiment of FIG. 1 .

FIG. 6 is a schematic diagram of a module of a detection channel and a common detection channel in the electronic device according to the fourth embodiment of FIG. 1 .

FIG. 7 is a schematic diagram of a module of a detection channel and a common detection channel in the electronic device according to the fifth embodiment of FIG. 1 .

FIG. 8 is a schematic diagram of a module of a detection channel and a common detection channel in the electronic device according to the sixth embodiment of FIG. 1 .

FIG. 9 is a schematic diagram of a module of a detection channel and a common detection channel in the electronic device according to the seventh embodiment of FIG. 1 .

FIG. 10 is a flowchart of a signal optimization method according to at least one embodiment of the present invention.

S10-S14: Steps

Claims (20)

A signal optimization method is applied to an electronic device; the electronic device comprises a plurality of detection channels, at least one processor and a storage chip; the improvement is that: the processor is used to execute a computer program stored in the storage chip. Follow the steps below: dividing the detection channel to form a plurality of detection areas; at least one common detection channel is set; the common detection channel is scanned at at least two different detection moments; The detection channel and the common detection channel are scanned in a time-division scanning manner to obtain scanning data; wherein, the scanning data includes a driving signal and a noise signal; Normalizing the scanning data corresponding to at least two different detection times of the common detection channel to obtain a noise reference value; the noise reference value is a noise signal in a certain detection area ; After the normalization process, the noise signal of each described detection area is all normalized to be associated with the noise reference value; Noise reduction processing is performed on the scanned data according to the noise reference value, so as to optimize the noise reduction processing difficulty of the scanned data. The signal optimization method according to claim 1, wherein the electronic device includes one of the common detection channels; and at any of the detection moments, the common detection channels are scanned. The signal optimization method as described in claim 2, wherein the common detection channel is arranged at the edge of the electronic device. The signal optimization method according to claim 2, wherein the common detection channel is sandwiched between two adjacent detection regions. The signal optimization method according to claim 4, wherein, when the electronic device is a self-capacitive touch electronic device, the electronic device includes a plurality of first touch electrodes arranged in a matrix; the processor The first touch electrodes are electrically connected to the first touch electrodes through first traces; a plurality of the detection areas are symmetrically arranged on both sides of the common detection channel; the first touch electrodes arranged in a straight line serve as one of the a detection channel; the common detection channel is formed by another piece of the first touch electrodes. The signal optimization method according to claim 4, wherein, when the electronic device is a self-capacitive touch electronic device, the electronic device includes a plurality of first touch electrodes arranged in a matrix; The channel and the common detection channel are respectively constituted by at least one of the first touch electrodes. The signal optimization method according to claim 6, wherein each of the first touch electrodes includes a first sub-electrode and a second sub-electrode; the first sub-electrodes and the second sub-electrodes are arranged complementary to The quadrangular first touch electrodes are formed; the common detection channel is composed of two first touch electrodes. The signal optimization method according to claim 4, wherein when the electronic device is a self-capacitance and mutual-capacity integrated touch electronic device, the electronic device comprises a plurality of first touch electrodes arranged in parallel with each other and a plurality of first touch electrodes arranged in parallel with each other. The first touch electrodes are vertically arranged second touch electrodes; the electronic device includes a plurality of first detection channels and a plurality of second detection channels; each of the first touch electrodes is used as one of the first detection channels Each of the second touch electrodes is used as one of the second detection channels; the electronic device includes at least one first common detection channel and at least one second common detection channel; the first common detection channel and all The first detection channel corresponds to the first detection channel, and the second common detection channel corresponds to the second detection channel; the first common detection channel is composed of at least one of the first touch electrodes; the second common detection channel is composed of At least one of the second touch electrodes is formed; when scanning the first detection channel, the first common detection channel is scanned, and the second common detection channel is not scanned; When the two detection channels are scanned, the first common detection channel is not scanned, and the second common detection channel is scanned. The signal optimization method according to claim 1, wherein the electronic device includes a plurality of the common detection channels; the common detection channels are arranged between two adjacent detection areas; at any detection moment, At least one of the common detection channels is scanned. The signal optimization method according to claim 9, wherein a plurality of the detection channels in each of the detection regions are arranged at intervals; the detection channel in the detection area. The signal optimization method according to claim 9, wherein a plurality of the detection channels in each of the detection regions are arranged adjacently. The signal optimization method according to claim 9, wherein, when the electronic device is a mutual capacitive touch electronic device, the electronic device comprises a plurality of first touch electrodes arranged in parallel with each other and a A plurality of second touch electrodes arranged vertically by the touch electrodes; the processor identifies the first touch electrodes as the detection channel and the common detection channel. The signal optimization method according to claim 9, wherein when scanning the detection channels in the detection area located in the middle, the common detection channels adjacent to the detection area are all scanned. The signal optimization method according to claim 1, wherein the processor sequentially scans the detection channel and the common detection channel in one of the detection regions according to the arrangement sequence. The signal optimization method as described in claim 1, wherein the processor first scans the detection channel and the common detection channel located in one of the detection regions at the end in sequence, and then scans the detection channel located in the middle. The detection channel and the common detection channel in the detection area are scanned. The signal optimization method according to claim 9, wherein, when the electronic device is a self-capacitive touch electronic device, the electronic device comprises a plurality of first touch electrodes arranged in a matrix; the processor The first touch electrodes are electrically connected to the first touch electrodes through first traces; the first touch electrodes arranged in a straight line are used as one of the detection channels; the common detection channel is connected by another of the first touch electrodes Electrode composition. The signal optimization method according to claim 9, wherein, when the electronic device is a self-capacitive touch electronic device, the electronic device comprises a plurality of first touch electrodes arranged in a matrix; The detection channel and the common detection channel are respectively constituted by at least one of the first touch electrodes. The signal optimization method as described in claim 17, wherein each of the first touch electrodes includes a first sub-electrode and a second sub-electrode; the first sub-electrodes and the second sub-electrodes are arranged complementary, to form the quadrangular first touch electrodes; the common detection channel is formed by two of the first touch electrodes. An electronic device includes a plurality of detection channels, at least one processor and a storage chip; the improvement is that: the electronic device divides the detection channels to form a plurality of detection areas; the electronic device adopts a time-sharing scanning method for the detection The detection channel in the area is scanned; when the processor is configured to execute the computer program stored in the storage chip, the signal optimization method according to any one of the requirements 1 to 18 is implemented. A storage chip, which is improved in that the storage chip is a computer-readable storage chip, and stores at least one instruction, and when the at least one instruction is executed by a processor, the signal optimization according to any one of claim items 1 to 18 is realized. method.

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