TW202137739A - 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 storage chip

The invention relates to a signal optimization method, an electronic device and a storage 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. During operation, interference occurs between different electronic devices, which makes the detected signal usually noise. For signals detected by the time-sharing method, there may be large differences in noise between the signals collected at different times, which makes it more complicated to analyze and process the collected signals, and it is impossible to filter the noise simply and quickly. In addition to operations.

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

A signal optimization method applied to an electronic device; the 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; Setting at least one common detection channel; the common detection channel is scanned at at least two different detection moments; Scanning the detection channel and the common detection channel in a time-sharing scanning manner to obtain scan data; wherein the scan data includes a driving signal and a noise signal; Perform normalization processing on the scan data corresponding to the common detection channel at at least two different detection moments to obtain a noise reference value; the noise reference value is a noise signal in a certain detection area ; After the normalization processing, the noise signal of each detection area is normalized to be associated with the noise reference value; Perform noise reduction processing on the scanned data according to the noise reference value to optimize the difficulty of noise reduction processing 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; Setting at least one common detection channel; the common detection channel is scanned at at least two different detection moments; Scanning the detection channel and the common detection channel in a time-sharing scanning manner to obtain scan data; wherein the scan data includes a driving signal and a noise signal; Perform normalization processing on the scan data corresponding to the common detection channel at at least two different detection moments to obtain a noise reference value; the noise reference value is a noise signal in a certain detection area ; After the normalization processing, the noise signal of each detection area is normalized to be associated with the noise reference value; Perform noise reduction processing on the scanned data according to the noise reference value to optimize the difficulty of noise reduction processing of the scanned data.

A storage chip, the storage chip is a computer-readable storage chip, storing at least one instruction, and when the at least one instruction is executed by a processor, the following steps are implemented: Dividing the detection channel to form a plurality of detection areas; Setting at least one common detection channel; the common detection channel is scanned at at least two different detection moments; Scanning the detection channel and the common detection channel in a time-sharing scanning manner to obtain scan data; wherein the scan data includes a driving signal and a noise signal; Perform normalization processing on the scan data corresponding to the common detection channel at at least two different detection moments to obtain a noise reference value; the noise reference value is a noise signal in a certain detection area ; After the normalization processing, the noise signal of each detection area is normalized to be associated with the noise reference value; Perform noise reduction processing on the scanned data according to the noise reference value to optimize the difficulty of noise reduction processing of the scanned data.

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

In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of the embodiments of the present invention, but not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work 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 objects, rather than to describe a specific sequence. In addition, the term "including" and any variations of them are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or modules is not limited to the listed steps or modules, but optionally includes steps or modules that are not listed, or optional The ground also includes other steps or modules inherent to these processes, methods, products, or equipment.

The specific implementation 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 three-dimensional schematic diagram 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 (Personal Digital Assistant, PDA), a game console, an interactive network 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, and digital TVs. The electronic device 1 may have one or a combination of touch function, fingerprint recognition function, and camera function.

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

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

The first functional layer 12 is used to identify the user's touch operation and/or biological characteristics. 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 or a combination of the user's touch position and touch strength. The first functional layer 12 is made of a 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 in the figure) to identify the biometric characteristics of the user. In at least one embodiment of the present invention, the biological feature may be a fingerprint, a human face, an iris, etc., but it is not limited thereto. The first functional layer 12 can 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 to display image information. In at least one embodiment of the present invention, the second functional layer 14 may be a liquid crystal display (LCD) layer, a light emitting diode (LED) display layer, or an organic light emitting diode (LCD) layer. 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 to this. The second functional layer 14 is made of conductive material, and can be patterned to form a plurality of pixel electrodes. In other embodiments, the second functional layer 14 may also 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 light changes and generate response 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 a different structure in the electronic device 1 according to requirements. In this embodiment, the detection channel 16 may be a touch electrode in the first functional layer 12, a sensing electrode in the first functional layer 12, and a picture element in the second functional layer 14. Electrodes, photosensitive elements in the second functional layer 14 and so on.

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 storage 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 moments. 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 pixel electrode, the common detection channel 18 is also a pixel electrode; when the detection channel 16 is a sensor electrode, the common detection channel 18 is also a sensor electrode. Wherein, the predetermined rule can 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-sharing scanning manner, and obtains the scan data. Wherein, the scan data includes driving signals and noise signals. The processor 20 further performs normalization processing according to the plurality of scan data corresponding to the common detection channel 18 at different detection moments to obtain a noise reference value, and the processor 20 pairs according to the noise reference value. The scanning data corresponding to each detection channel 16 and each common detection channel 18 undergo noise reduction processing.

Implementation mode one

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 areas 101a-101c and one common detection channel 18. The detection channels 16 located in the same detection area 101 are arranged adjacently. The common detection channel 18 is arranged at 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 arranged at the bottom, left or right side of the detection area 101, and is not limited to this.

Specifically, the processor 20 calculates the scan data difference Br between two different detection times according to the scan data Scan(n) corresponding to each of the common detection channels 18, and calculates the scan data difference Br between two different detection times. The value Br is normalized to obtain the noise reference value. Wherein, 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 effective 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 time and the second detection time. 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 to obtain 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 the effective signal;

Indicates the frequency of the noise signal; when

At the time, the difference of the effective signal of multiple scans can be ignored. That is, the following relationship exists:

(

)

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

To get:

It can be seen from the above formula that the noise of each detection area 101 is normalized to be associated with the noise (n) in the last detection area 101. That is, the noise difference between each detection area 101 at different detection moments 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 arranged 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 order. Wherein, the specified order may be from top to bottom according to the arrangement order. The specified order can also be set according to the needs of the user. For example, the scanning order can also be to scan the detection channels 16 located in the detection area 101 at both ends first, and then to scan 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 moment, and scan the third detection channel at the second detection moment. The detection channel 16 and the common detection channel 18 in the 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.

Implementation mode two

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 can basically be applied to the electronic device 1 of the second embodiment, and the main difference between the two is that they are 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 areas 101. In this embodiment, between two adjacent detection channels 16 located in the first detection area 101, one is located in the second detection area 101 and one is located in the third detection area. The detection channel 16 in 101.

Implementation mode three

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. In other words, the description of the electronic device 1 described in the first embodiment can basically be applied to the electronic device 1 of the third embodiment, and the main difference between the two is: the electronic device 1 It 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 respectively arranged between two adjacent detection regions 101. In this embodiment, the first common detection channel 18a is provided between the first detection area 101a and the second detection area 101b, and the second common detection channel 18b is provided between the second detection area 101b and the second detection area 101b. Between the third detection area 101c.

In this embodiment, the processor 20 scans the plurality of detection channels 16 and at least one of the common detection channels 18 in the plurality of detection areas 101 according to a specified order. Wherein, the specified order may be from top to bottom according to the arrangement order. The specified order can also be set according to the needs of the user. For example, the scanning order can also be to scan the detection channels 16 located in the detection area 101 at both ends first, and then to scan 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 moment, and perform a scan at the second detection moment. 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 detection channel 16 and the second common detection channel 18b within are scanned.

Implementation mode four

Please also refer to FIG. 6, which is a schematic diagram of modules 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 can basically be applied 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 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 a second touch electrode 140 arranged perpendicular to the first touch electrodes 120. Each detection channel 16 is one first touch electrode 120. In this embodiment, the detection channel 16, the first common detection channel 18a, and the second common detection channel 18b 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 electrode 140 is 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 a shielding layer, each of the second touch electrodes 140 is loaded with the same signal, or each of the second touch electrodes 140 is suspended. In this embodiment, the processor 20 is electrically connected to the first touch electrode 120 through a first wiring 102, and is electrically connected to the second touch electrode 140 through a second wiring 104 .

Implementation mode five

Please also refer to FIG. 7, which is a schematic diagram of modules 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 description of the electronic device 1 described in the first embodiment can basically be applied to the electronic device 1 of the fifth embodiment, and the main difference between the two is: the electronic device 1 It is a self-contained 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 electrode 120 through the first wiring 102. The processor 20 divides the first touch electrode 120 along the extending direction of the first trace 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 Six

Please also refer to FIG. 8, which is a schematic diagram of modules 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 description of the electronic device 1 described in the fifth embodiment can basically be applied to the electronic device 1 of the sixth embodiment, and the main difference between the two is: 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 complementarily to form the first touch electrode 120 in a quadrilateral shape. Each of the first sub-electrodes 121 and each of the second sub-electrodes 123 respectively constitute a detection channel 16. The common detection channel 18 is the two 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 101a and a second detection area 101b, and the two are symmetrically arranged with respect to the common detection channel 18.

In this embodiment, the value of Br1 is equal to the average value or the sum 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 values 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.

Implementation mode seven

Please also refer to FIG. 9, which is a schematic diagram of modules 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 description of the electronic device 1 described in the fourth embodiment can basically be applied to the electronic device 1 of the seventh embodiment, and the main difference between the two is: the electronic device 1 It is a self-capacitive and mutual-capacitive integrated touch display device. The electronic device 1 includes a plurality of first touch electrodes 120 arranged parallel to each other and a second touch electrode 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 16 a is one of the first touch electrodes 120. Each second detection channel 16b is one second touch electrode 140. The electronic device 1 includes first to fourth detection areas 101a-101d. Wherein, the first detection area 101a and the second detection area 101b extend along a first direction, and the third detection area 101c and the fourth detection area 101d extend along a second perpendicular to the first direction. Direction extension setting. 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 composed of two first touch electrodes 120 arranged in parallel. The second common detection channel 18b is composed of two 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 scanned together; 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 electrode 120 through a first wiring 102, and is electrically connected to the second touch electrode 140 through a second wiring 104 .

In this embodiment, when the first touch electrode 120 is driven, the Br1 value is equal to the average value or the sum value of the signals of the two first touch electrodes 120 of the first common detection channel 18a at the first moment. The Br2 value is equal to the average value or the sum 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 electrode 140 is driven, the value of Br1 is equal to the average value or the sum 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 signal average value or the sum value of the two second touch electrodes 140 of the second common detection channel 18b at the second time.

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 moments, by normalizing the scan data corresponding to the common detection channel 18 The noise reference value is obtained by chemical processing, and the noise between different detection areas has been correlated to optimize the difficulty of noise reduction processing of scanned data.

Please refer to FIG. 10, which is a flowchart showing 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 storage 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-sharing scanning manner to obtain scan data.

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

S13. The processor 20 performs normalization processing according to the scan data corresponding to each of the common detection channels 18 at at least two different detection moments 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 detection area is normalized to be correlated 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 of the scanned data.

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

The signal optimization method proposed by the present invention can be applied to capacitive touch chip, capacitive fingerprint chip, optical fingerprint chip, CMOS/CCD camera chip and other electronic devices that adopt time-sharing detection and have high data noise reduction requirements middle.

It should be noted that for the foregoing method implementations, for the sake of simple description, they 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 sequence of actions. Because according to the present invention, certain steps can be performed in other order or simultaneously. Secondly, those skilled in the art should also know that the implementations described in the specification are all preferred implementations, and the actions and modules involved are not necessarily required by the present invention.

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

The modules described as separate components may or may not be physically separate, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they 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 objectives of the solutions of this embodiment.

It should also be noted that in this article, the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements , And also include other elements not explicitly listed, or elements inherent to the process, method, article, or device. If there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, article, or device 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 that: The technical solutions recorded in the embodiments are modified, or some of the technical features thereof are equivalently replaced; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

In summary, the present invention meets the requirements of an invention patent, and Yan filed a patent application in accordance with the law. However, the above are only the preferred embodiments of the present invention. For those who are familiar with the technique of this case, equivalent modifications or changes made in accordance with the creative spirit of this case should be included in the scope of the following patent applications.

1: Electronic device 11: Cover 12: The first functional layer 120: The first touch electrode 121: first sub-electrode 123: second sub-electrode 140: second touch electrode 14: The first functional layer 16: detection channel 16a: The first detection channel 16b: second detection channel 101: detection area 101a: the first detection area 101b: second detection area 101c: third detection area 101d: fourth detection area 18: Public detection channel 18a: The first public detection channel 18b: The second public detection channel 102: first trace 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 in FIG. 1.

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

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

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

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

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

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

FIG. 9 is a schematic diagram of modules of the detection channel and the common detection channel in the electronic device of the seventh embodiment in 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 applied to an electronic device; the electronic device includes a plurality of detection channels, at least one processor and a memory chip; the improvement is that: the processor is used to execute the computer program stored in the memory chip. The following steps: Dividing the detection channel to form a plurality of detection areas; Setting at least one common detection channel; the common detection channel is scanned at at least two different detection moments; Scanning the detection channel and the common detection channel in a time-sharing scanning manner to obtain scan data; wherein the scan data includes a driving signal and a noise signal; Perform normalization processing on the scan data corresponding to the common detection channel at at least two different detection moments to obtain a noise reference value; the noise reference value is a noise signal in a certain detection area ; After the normalization processing, the noise signal of each detection area is normalized to be associated with the noise reference value; Perform noise reduction processing on the scanned data according to the noise reference value to optimize the difficulty of noise reduction processing of the scanned data. The signal optimization method according to claim 1, wherein the electronic device includes one common detection channel; at any one of the detection moments, the common detection channel is 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 as described in claim 2, wherein the common detection channel is sandwiched between two adjacent detection areas. 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 Are electrically connected to the first touch electrode through a first trace; a plurality of the detection areas are symmetrically arranged on both sides of the common detection channel; the first touch electrode arranged in a straight line serves as one of the Detection channel; the common detection channel is formed by another one 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 composed of 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 in a complementary manner to The first touch electrode forming a quadrilateral; 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-capacitance integrated touch electronic device, the electronic device includes a plurality of first touch electrodes arranged in parallel with each other and The first touch electrode is vertically arranged second touch electrode; the electronic device includes a plurality of first detection channels and a plurality of second detection channels; each of the first touch electrodes serves as one of the first detection channels Channel; each of the second touch electrodes serves as a second detection channel; 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 the The first detection channel corresponds, 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; 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 channel is set between two adjacent detection areas; at any detection time, 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 are arranged at intervals in each detection area; the detection channels located in the same detection area and adjacent to other detection channels exist The detection channel in the detection area. The signal optimization method according to claim 9, wherein a plurality of the detection channels in each detection area 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 includes a plurality of first touch electrodes arranged in parallel with each other and A plurality of second touch electrodes arranged vertically on the touch electrodes; the processor recognizes 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 channel located in the detection area 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 channels and the common detection channels in one detection area 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 areas 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 includes a plurality of first touch electrodes arranged in a matrix; the processor Is electrically connected with the first touch electrode through a first trace; the first touch electrode arranged in a straight line serves as one of the detection channels; the common detection channel is connected by another one 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 includes 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 according to 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 in a complementary manner, To form the quadrilateral first touch electrodes; the common detection channel is composed of two first touch electrodes. An electronic device, comprising a plurality of detection channels, at least one processor and a storage chip; the improvement is that: the electronic device divides the detection channel 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; the processor is used to execute the computer program stored in the storage chip to implement the signal optimization method as described in any one of request items 1 to 18. A storage chip, the improvement of which is that the storage chip is a computer-readable storage chip that stores at least one instruction, and when the at least one instruction is executed by a processor, the signal optimization described in any one of claim items 1 to 18 is realized method.

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