TWI496138B - Technology and system for encoding and decoding high-frequency-sound signal - Google Patents

Description

Techniques and systems for encoding and decoding high frequency sound signals

This specification relates to techniques and systems for encoding and decoding high frequency sound signals, and more particularly to a technique and system for encoding and decoding subsonic signals.

The audio signal is actually an energy wave, which is transmitted by air or other medium. The degree of sound perception of the sound is measured in loudness decibels (dB) as a unit of measure. When the vibration frequency of this energy wave is within the range of the human ear's ability to sense, it is called an audible sound. When the frequency is higher than the audible sound, it is called ultrasound, which can be used for medical or engineering testing or material processing. When the frequency is lower than the audible wave, it is called an infrasound, such as a seismic wave caused by an earthquake.

Human hearing ranges from 20 Hz to 20 kHz, with the most sensitive range being between 2 kHz and 4 kHz. After testing the human ear with different single frequency signals, a curve can be used to describe the absolute threshold curve or the quiet threshold curve. The psychoacoustic model uses a frequency analyzer to simulate the human auditory system. The frequency analyzer consists of a number of bandpass filters with frequencies between approximately 20 Hz and 20 kHz, each with a bandpass filter. The bandwidth is different. The bandwidth of these bandpass filters is called the critical bands. The human auditory model can be summarized into two important shading characteristics, the real-time shading effect and the frequency domain shading effect. The former is subdivided into pre-masking, post-masking, and simultaneous-masking. When audio has multiple frequency components appearing at the same time, the shadowing effect of different frequency components is calculated cumulatively at the same time, and the shadowing curve becomes complicated, which varies with the energy level, frequency position and signal characteristics of the signal. different. The signal with high energy can shield large noise, the non-tonal signal is better than the single-tone signal, and the high-frequency signal has stronger shielding than the low-frequency signal.

The audio watermark is a watermark signal to be embedded, which is encrypted, encoded, spread, or otherwise processed to randomize the processed watermark signal. And according to the masking effect of the Human Auditory System (HAS), after processing The watermark or its spectral components are controlled and embedded in the range that the original audio signal can be masked, so that the watermark can be hidden in the audio signal without any difference in audio quality. Steganography is also an application of digital watermarking, where both parties can communicate using information hidden in digital signals.

The invention selects several frequencies in the high frequency section which is less sensitive to the human ear, and uses these frequencies in the audio to perform dynamic covert coding to extract the hidden coded signal before destroying the original sound frequency characteristic to a minimum. The sound of the frequency is more resistant to interference from the surrounding environment.

According to a particular aspect of the present invention, a high frequency sound signal encoding and decoding system is provided, the system comprising a tone editing software and a tone detecting device. The tone detecting device comprises a receiving device, an analog circuit and a processing unit. Such a ratio circuit includes an Automatic Gain Control (AGC) circuit, a band-pass filter, a band pass amplifier, and an Analogue-to-Digital Converter (ADC). The processing unit includes a memory, a tone decoding component, and a sound micro control unit. The tone editing software determines the coding sequence of the high frequency sound signal based on an encoding logic and an encoding format including a starting feature. The tone editing software pre-analyzes the high-frequency characteristics of the original audio signal, and based on the preset signal-to-noise ratio (SNR), signal strength, and high-frequency compensation value (high-frequency) Compensation) determines the gain of the high frequency sound signal, and mixes the high frequency sound signal with the original audio signal according to the gain and the code sequence. The mixed signal is transmitted via a playback medium. The receiving device receives the mixed signals. Such a ratio circuit filters the mixed signals and amplifies the high frequency sound signals therein. Such a ratio-to-digital converter digitizes the filtered amplified signals into a time domain waveform signal. The sound micro control unit converts the time domain waveform signals into a frequency spectrum using a specific algorithm. The high frequency data in the spectrum and the time domain waveform signals are stored in this memory. The sound micro control unit calculates the characteristic parameters of the high frequency data and continuously detects the characteristic parameters until the initial feature is met. The tone decoding component then continuously receives the high frequency data of a particular interval and locates the data boundary of the encoded format in the received high frequency data according to the encoding logic. The sound micro control unit performs anti-reflection filtering processing on the high frequency data after positioning, and recalculates such characteristic parameters including energy and signal-to-noise ratio of a specific frequency. The pitch decoding component decodes the positioned high frequency data according to the encoding logic. The sound micro control unit checks the decoded high frequency data, and if the verification fails, repairs the decoded high frequency data with weak energy and low signal to noise ratio according to the encoding logic. The sound micro control unit removes the decoded high frequency data of the low comprehensive probability and the weak signal according to the combined comprehensive probability and the average signal strength, and outputs the filtered decoded high frequency data.

According to another specific aspect of the present invention, a high frequency sound signal encoding and decoding technique is provided, the technique comprising the steps of: determining a coding sequence of a high frequency sound signal according to an encoding logic and an encoding format including a starting feature, and analyzing the original in advance The high frequency characteristic of the audio signal determines the gain of the high frequency sound signal according to the preset signal to noise ratio, the signal strength and the high frequency compensation value, and mixes the high frequency sound signal with the original audio signal according to the gain and the code sequence. Sending the mixed signal, receiving the mixed signals, filtering and amplifying the high frequency sound signals in the mixed signals, digitizing the filtered signals into time domain waveform signals, and using a specific algorithm to perform the signals The time domain waveform signal is converted into a spectrum, and the high frequency data in the spectrum and the time domain waveform signals are stored, and the characteristic parameters of the high frequency data are calculated, and the characteristic parameters are always detected until the initial feature is met, and then Continuously receiving a plurality of such high frequency data at a specific interval, and positioning the code in the received high frequency data according to the encoding logic The data boundary of the data is subjected to anti-reflection filtering processing on the high-frequency data after positioning, and the characteristic parameters including the energy and the signal-to-noise ratio of the specific frequency are recalculated, and the high-frequency data after the positioning is decoded according to the encoding logic, and the decoding is decoded. After the high frequency data, if the verification fails, the decoded high frequency data of the weak energy and the low signal-to-noise ratio is repaired according to the coding logic, and the low comprehensive probability and the weak signal are decoded according to the integrated probability and the average signal strength after decoding. Frequency data, output filtered high frequency data after decoding.

10S‧‧‧High frequency sound signal codec system

10T‧‧‧High frequency sound signal encoding and decoding technology

100‧‧‧High frequency sound signal

200‧‧‧ encoding format

202‧‧‧ starting bit

204‧‧‧Check bit

210‧‧‧ starting characteristics

220‧‧‧ Coded information

300‧‧‧ coding logic

310‧‧‧ state machine

400‧‧‧High frequency data

402‧‧‧Characteristic parameters

410‧‧‧High frequency data after positioning

420‧‧‧High-frequency data after decoding

500‧‧‧ tone editing software

600‧‧‧tone detection device

610‧‧‧ receiving device

620‧‧‧ analog circuit

622‧‧‧Automatic gain control circuit

624‧‧‧Bandpass filter

626‧‧‧Bandpass amplifier

628‧‧‧ analog to digital converter

630‧‧‧Processing unit

632‧‧‧ memory

634‧‧‧tone decoding components

636‧‧‧Sound Micro Control Unit

700‧‧‧ original audio signal

800‧‧‧Mixed signal

810‧‧‧Filter amplified signal

900‧‧‧Play media

D7~D0‧‧‧ data bit

S001~S016‧‧‧Steps

The features and advantages of the present invention are apparent from the description of the preferred embodiments of the invention.

The block diagram of the architecture shown in Fig. 1 is a diagram illustrating a high frequency sound signal codec system 10S according to an exemplary embodiment.

2 is a diagram illustrating an encoding format in accordance with an exemplary embodiment.

3 is a diagram illustrating a state machine in accordance with an exemplary embodiment.

The flowchart shown in FIG. 4 is a diagram illustrating steps S001 to S016 in a high frequency sound signal encoding and decoding technique 10T according to an exemplary embodiment.

The block diagram of the architecture shown in Fig. 1 is a diagram illustrating a high frequency sound signal codec system 10S according to an exemplary embodiment. This high frequency sound signal encoding and decoding system 10S is used before practice The high frequency sound signal encoding and decoding technology 10T is described. Referring first to FIG. 1, the high frequency audio signal encoding and decoding system 10S includes a tone editing software 500 and a tone detecting device 600.

2 is a diagram illustrating a frame of encoded material 220, in accordance with an exemplary embodiment. FIG. 3 is a diagram illustrating a state machine 310 in accordance with an exemplary embodiment. Next, referring to FIG. 1 to FIG. 3, the tone editing software 500 determines a coding sequence of the high frequency sound signal 100 according to the encoding logic 300 and the encoding format 200 including the starting feature 210, wherein the encoding format 200 and the encoding are performed. The logic 300 is as described above and will not be described here. The tone editing software 500 pre-analyzes the high frequency characteristics of the original audio signal 700 to determine the gain of the high frequency sound signal according to the preset signal-to-noise ratio, signal strength and high frequency compensation value, according to the gain and the high frequency of the code sequence. The sound signal 100 is blended into such original audio signals 700. When the mixed signal 800 (not shown) transmits the mixed signal via a playback medium 900, such as any multimedia or audio device, the receiving device 610 receives the mixed signal 800, and such a ratio circuit 620 then filters the mixed signals 800. According to an exemplary embodiment of the exemplary embodiment, the mixed signals 800 sequentially pass through the automatic gain control circuit 622, the band pass filter 624, and the band pass amplifier 626, and the mixed signals 800 are higher than the above-mentioned circuit components. The analog signal of the particular frequency is filtered and amplified to form a filtered amplified signal 810 (not shown). Such a ratio to digital converter 628 digitizes the filtered amplified signal 810 into a time domain waveform signal. This sound micro control unit 636 converts these time domain waveform signals into a frequency spectrum using a specific algorithm. In some specific embodiments, such specific algorithms employ fast algorithms such as, but not limited to, Fast Fourier Transform and Discrete Fourier Transform. The high frequency data 400 (not shown) in the spectrum and the time domain waveform signals are stored in the memory 632. The sound micro control unit 636 calculates the characteristic parameters 402 (not shown) of the high frequency data 400 and determines whether the characteristic parameters 402 conform to the initial feature 210. According to an exemplary embodiment of the exemplary embodiment, the starting feature 210 includes, but is not limited to, a specific duration of 35 ms, a specific frequency α, and a signal-to-noise ratio of the starting bit 202. If the feature parameters 402 meet the initial feature 210, the tone decoding component 634 continuously receives the high frequency data 400 at a specific interval and locates the received high frequency data 400 according to the encoding logic 300. The data boundary of this encoding format 200. According to the specific example of the exemplary embodiment, the specific interval is about 300 ms, and the data boundary of the encoding format 200 is the boundary of the frame encoding data 220. The boundary of the frame encoding data 220 can be positioned to provide accurate frames for subsequent decoding. Shift the parameters. In some specific embodiments, the high frequency data 400 includes time domain data in the time domain waveform signals and frequency domain data in the frequency spectra. The sound micro control unit 636 mainly uses the time domain data and the like. The signal correlation feature in the frequency domain data is used to analyze the signal synchronization position. That is, in decoding The signal correlation features of the high frequency data 400 are analyzed to locate the boundaries of the frame encoded material 220. In addition, the sound micro control unit 636 also analyzes the energy envelope of the high frequency signal, the time domain bit encoding periodicity, and the average energy, and thereby determines whether the encoded time domain characteristic parameter is met. In addition, for the frequency domain characteristic parameters, the algorithm is mainly used to analyze the decoding path, output decoding and decoding probability to represent the reliability of the decoding, and also analyze the signal, using a algorithm such as, but not limited to, a Hidden Markov Model (HMM). The signal-to-noise ratio parameter is integrated to determine whether the code conforms to the frequency domain characteristic parameter.

Referring to FIGS. 1 to 3, the sound micro control unit 636 performs anti-reflection filtering processing on the positioned high frequency data 410, and recalculates such characteristic parameters 402 including, but not limited to, frequency energy and signal-to-noise ratio. According to the specific embodiment of the example, the recalculation is to re-convert the time domain waveform signals in the post-positioned high-frequency data 410 to the spectrum again by using a specific algorithm, and store the re-converted spectra and the time domains. The high frequency data 400 in the waveform signal calculates the characteristic parameters 402 of the high frequency data 400 after the conversion. After this anti-reflection filtering process, the influence of room echo interference or outdoor obstacle echo interference can be eliminated. The tone decoding component 634 decodes the positioned high frequency data 410 based on the encoding logic 300. The sound micro control unit 636 performs a parity check using the check bit 204 to verify the decoded high frequency data 420. If the verification fails, the sound micro control unit 636 repairs the weak energy and the low signal according to the encoding logic 300. High frequency data 420 after decoding. The sound micro control unit 636 divides the decoded high frequency data 420 of the low comprehensive probability and the weak signal according to the combined comprehensive probability and the signal average intensity, and outputs the filtered decoded high frequency data 420 for subsequent processing. For example, the decoded high frequency data 420 can represent a control signal for use in a super-sound remote control or a smart toy that interacts with a multimedia platform.

The flowchart shown in FIG. 4 illustrates steps S001 to S016 in a high frequency sound signal encoding and decoding technique 10T in accordance with an exemplary embodiment. Referring to FIG. 2 to FIG. 4 simultaneously, the high frequency sound signal encoding and decoding technology 10T is performed in the illustrated embodiment according to the following steps: First, in step S001, according to an encoding logic 300 and including a starting feature 210 (not shown) An encoding format 200 (not shown) determines the encoding sequence of the high frequency sound signal 100. In addition, as illustrated in FIG. 2, the encoding format 200 is a data bit D7, D5, D4, D2, D1, and D0 of a start bit 202 of 35 ms (milliseconds) and a duration of 25 ms. The data bits D6 and D3 of the time length of 30 ms and the check bit element 204 of the time length of 25 ms together constitute the frame coded data 220, wherein the length of the eight data bits D7~D0 is 180 ms, and the frame coded data 220 The total duration is 270ms. In addition, as illustrated in FIG. 3, the encoding logic 300 (not shown) utilizes a state machine (State Machine, a mathematical model of computation) 310. The coding logic 300. According to a specific example of the exemplary embodiment, the high frequency sound signals 100 are coded by selecting four frequencies in sub-sonic waves such as, but not limited to, 17 to 19 kHz, and represent the four by α, β, γ, and δ, respectively. The frequency, where the start bit 202 is encoded using a particular frequency a, and the data bits D7~D0 are encoded using the remaining frequencies β, γ, and δ. According to an exemplary embodiment of the exemplary embodiment, the frame coded material 220 starts from the code frequency α of the start bit 202, and determines the transfer direction according to the state of the frequencies α, β, γ, and δ, respectively, or 0. The data bits D7~D0 are sequentially encoded, thereby ensuring that the coding of adjacent data bits is changed, thereby increasing the reliability and anti-interference characteristics of the frame encoded data 220. In addition, since the encoding data bits D7~D0 take two different time lengths, namely 25ms and 30ms, the boundary of the frame encoded data 220 can be more accurately located during decoding, thereby preventing sound reflection or A bit offset error occurs when locating the boundary of this frame encoded material 220. The last check bit 204 is used to perform odd or even parity check on the data bits D7~D0.

Continuing to refer to FIGS. 2 to 4, then in step S002, the high frequency characteristic of the original audio signal 700 (not shown) is analyzed in advance, and the high frequency sound signal is determined according to the preset signal to noise ratio, signal strength and high frequency compensation value. The gain, in accordance with this gain and this sequence of codes, mixes the high frequency sound signal 100 into such original audio signal 700. Next, in step S003, the mixed signals 800 are transmitted and received to filter and amplify the high frequency sound signals 100 in the mixed signals 800. Next, in step S004, the filtered amplified signal 810 (not shown) is digitized into a time domain waveform signal. Then, according to step S005, the time domain waveform signals are converted into a frequency spectrum by using a specific algorithm. In some specific examples, such specific algorithms use fast algorithms such as, but not limited to, Fast Fourier Transform (FFT) and Discrete Fourier Transform (DFT). Then, according to step S006, the high frequency data 400 (not shown) of the spectrum and the time domain waveform signals are stored. In some specific embodiments, the high frequency data 400 includes time domain data in the time domain waveform signals and frequency domain data in the frequency spectrum. The high frequency sound signal encoding and decoding technology 10T mainly uses the time domain. The signal and the signal correlation characteristics in the frequency domain data are used to analyze the signal synchronization position. That is, the signal correlation features of the high frequency data 400 are analyzed during decoding to locate the boundary of the frame encoded data 220, wherein the signal correlation features are decoded after each frame of the high frequency data 400. The characteristic parameter 402 includes energy, amplitude, phase, signal-to-noise ratio, energy envelope shape, time domain bit coding periodicity, average energy of each coding frequency, and thereby determining whether the time domain characteristic of the coding is met parameter. In addition to the frequency domain characteristic parameters, the main use of hidden Markov models (Hidden Markov The algorithm of Model, HMM) analyzes the decoding path, outputs the combined decoding probability to represent the reliability of the decoding, and analyzes the signal integrated signal-to-noise ratio parameter, thereby judging whether the encoding conforms to the frequency domain characteristic parameter.

As shown in FIGS. 2 and 4, the characteristic parameters 402 of the high frequency data 400 are calculated in accordance with step S007. Next, according to step S008, it is determined whether the feature parameters 402 meet the initial feature 210. If the start feature 210 is met, the high frequency data 400 of a certain interval is continuously received in step S009, otherwise the detection is continued. According to an exemplary embodiment of the exemplary embodiment, the starting feature 210 includes, but is not limited to, a specific duration of 35 ms, a specific frequency α, and a signal-to-noise ratio of the starting bit 202. Then, in step S010, the encoding logic 300 is positioned according to the data boundary of the encoded format in the received high frequency data. According to the specific example of the exemplary embodiment, the specific interval is about 300 ms, and the data boundary of the encoding format 200 is the boundary of the frame encoding data 220. The boundary of the frame encoding data 220 can be positioned to provide accurate frames for subsequent decoding. Frame shift parameter. Next, in step S011, the post-position high-frequency data 410 is subjected to anti-reflection filtering processing. The anti-reflection processing is performed after the specific frequency α of the start bit 202, and the frequency domain characteristic parameter is echoed according to the period of the one-frame encoded data 220. The signal weakening process is designed to reduce the influence of the coded frequency signal of the previous bit on the current state. After the anti-reflection filtering process of step S011, the influence of room echo interference or outdoor obstacle echo interference can be eliminated. In step S012, the feature parameters 402 are recalculated. According to the specific embodiment of the demonstration, the feature parameters 402 are recalculated in accordance with the manner of steps S005-S007. The post-positioning high frequency data 410 is then decoded according to the encoding logic 300 in step S013. Next, the decoded high frequency data 420 is checked in step S014. If the verification fails, the decoded high frequency data 420 of weak energy and low signal to noise ratio is repaired according to the encoding logic 300 in step S015. According to the specific example of the demonstration, the verification method uses the parity bit 204 for parity check. Finally, in step S016, the decoded high-frequency data 420 after verification or repair is verified, and the decoded high-frequency data 420 of the low comprehensive probability and the weak signal are filtered according to the combined comprehensive probability and the average signal strength to be filtered. The more reliable decoded high frequency data 420 is output and output for subsequent processing. For example, the filtered decoded high frequency data 420 can represent a control signal for use in a super-sound remote control or a smart toy that interacts with a multimedia platform. In some specific examples, the order of the above steps S001~S016 can be arbitrarily changed, integrated, decomposed or synchronized, without affecting the goal of the high frequency sound signal encoding and decoding technology 10T. For example, the high frequency characteristics of the original audio signal 700 can be analyzed in advance, and the encoded sequence of the high frequency sound signal 100 can be determined. That is, the order of step S001 and step S002 is interchangeable.

Various features and aspects have been described in detail above. The description herein encompasses many and all combinations of features and aspects described herein, unless the description clearly excludes a combination of features. While the present invention has been shown and described, it will be understood by those of ordinary skill in the art The spirit and scope of the specification are as defined in the scope of the patent application below.

10S‧‧‧High frequency sound signal codec system

100‧‧‧High frequency sound signal

420‧‧‧High-frequency data after decoding

500‧‧‧ tone editing software

600‧‧‧tone detection device

610‧‧‧ receiving device

620‧‧‧ analog circuit

622‧‧‧Automatic gain control circuit

624‧‧‧Bandpass filter

626‧‧‧Bandpass amplifier

628‧‧‧ analog to digital converter

630‧‧‧Processing unit

632‧‧‧ memory

634‧‧‧tone decoding components

636‧‧‧Sound Micro Control Unit

700‧‧‧ original audio signal

800‧‧‧Mixed signal

Claims (12)

A high frequency sound signal encoding and decoding system, comprising: a tone editing software, determining a coding sequence of a high frequency sound signal according to an encoding logic and an encoding format including a starting feature, and preliminarily analyzing a high frequency characteristic of the original audio signal, Mixing a high frequency sound signal with the original audio signals; a playback medium, transmitting the mixed signal; and a tone detecting device comprising: a receiving device receiving the mixed signals; an analog circuit, filtering and amplifying the a high frequency sound signal in the mixed signal, and digitizing the filtered amplified signal into a time domain waveform signal; and a processing unit for converting the time domain waveform signals into a spectrum and storing the spectra And the high frequency data in the time domain waveform signals, calculating characteristic parameters of the high frequency data, detecting whether the characteristic parameters meet the initial feature, and if yes, continuously receiving the high frequency data of a specific interval, Positioning the data boundary of the encoding format in the high frequency data, performing anti-reflection filtering processing on the high frequency data after positioning, and recalculating the data After characteristic parameters, decoding the plurality of high-frequency positioning information, the decoded high frequency data verification, and if the verification fails decoding the plurality of high frequency repair information and the plurality of filters and outputting the decoded high frequency information. The high frequency sound signal encoding and decoding system of claim 1 , wherein the analog circuit comprises an automatic gain control circuit, a band pass filter, a band pass amplifier, and an analog to digital converter, and the automatic gain control circuit initially filters the The mixed signal, the band pass filter further filters the high frequency sound signal in the mixed signals, and the band pass amplifier amplifies the high frequency sound signal in the mixed signals, the analog to digital converter The filtered amplified signal is digitized into a time domain waveform signal. The high frequency sound signal encoding and decoding system of claim 1 wherein the processing unit includes a record a memory, a tone decoding component, and a sound micro control unit, wherein the memory system is configured to store the high frequency data, the tone decoding component is configured to receive the high frequency data at a specific interval, and locate the high frequency a data boundary of the encoding format in the data, and decoding the positioning high frequency data, the sound micro control unit converting the time domain waveform signals into a spectrum, calculating characteristic parameters of the high frequency data, and detecting the characteristic parameters Whether the initial feature is met, the feature parameters are recalculated, the decoded high frequency data is verified and repaired, and the decoded high frequency data is filtered and output. The high frequency sound signal encoding and decoding system of claim 1 , wherein the gain of the high frequency sound signal is determined according to a preset signal-to-noise ratio, signal strength and high frequency compensation value, and the height is high according to the gain and the code sequence The frequency sound signal is mixed with the original audio signals, and the time domain waveform signals are converted into the spectra by algorithms such as fast Fourier transform and discrete Fourier transform, and the encoding logic is used to locate data boundaries and codes of the encoding format. The high frequency data after the positioning is fixed, and the decoded high frequency data is repaired. The high frequency sound signal encoding and decoding system of claim 1 is characterized in that the frequency range of the high frequency sound signals is between 17 and 19 kHz. The high frequency sound signal encoding and decoding system of claim 1, wherein the encoding format comprises a start bit, a plurality of data bits, and a check bit, and the encoding logic uses a state machine to design the encoding logic. The high frequency sound signal encoding and decoding system of claim 1, wherein the high frequency data includes frequency domain data in the frequency spectrum and time domain data in the time domain waveform signals, wherein the characteristic parameters include time domain characteristics Parameters and frequency domain feature parameters. A high frequency sound signal encoding and decoding technique, comprising: determining a coding sequence of a high frequency sound signal according to an encoding logic and an encoding format including a starting feature; and preliminarily analyzing a high frequency characteristic of the original audio signal to combine the high frequency sound signal with the Original audio signal Mixing; transmitting and receiving the mixed signals to filter and amplify the high frequency sound signals in the mixed signals; digitizing the filtered amplified signals into time domain waveform signals; and using the time domain waveform signals Converting to a spectrum; storing the frequency spectrum and high frequency data in the time domain waveform signals; calculating characteristic parameters of the high frequency data; determining whether the characteristic parameters meet the initial feature, if the initial feature is met Continuously receiving the high-frequency data of a specific interval, otherwise continuously detecting; locating the data boundary of the encoding format in the high-frequency data; performing anti-reflection filtering processing on the high-frequency data after positioning; recalculating the positioning The characteristic parameters of the high frequency data; decoding the high frequency data after the positioning; verifying the decoded high frequency data, repairing the decoded high frequency data if the verification fails; and filtering and outputting the decoded high frequencies Frequency data. The high frequency sound signal encoding and decoding technology of claim 8 wherein the gain of the high frequency sound signal is determined according to a preset signal-to-noise ratio, signal strength and high frequency compensation value, and the height is high according to the gain and the code sequence The frequency sound signal is mixed with the original audio signals, and the time domain waveform signals are converted into the spectra by algorithms such as fast Fourier transform and discrete Fourier transform, and the encoding logic is used to locate data boundaries and codes of the encoding format. The high frequency data after the positioning is fixed, and the decoded high frequency data is repaired. The high frequency sound signal encoding and decoding technology of claim 8 of the patent scope, wherein the frequency range of the high frequency sound signals is between 17 and 19 kHz. The high frequency sound signal encoding and decoding technology of claim 8 of the patent scope, wherein the encoding format is included The start bit, the plurality of data bits, and a check bit, the coding logic uses a state machine to design the coding logic. The high frequency sound signal encoding and decoding technology of claim 8 , wherein the high frequency data includes frequency domain data in the frequency spectrum and time domain data in the time domain waveform signals, wherein the characteristic parameters include a time domain Feature parameters and frequency domain feature parameters.