480 results about "Digital filter" patented technology

The invention discloses a sampling implementation method and system suitable for motor protection quick response, belongs to the technical field of motor protection, and can increase the sampling frequency and improve the quick response of motor fault protection. Comprising the steps that motor phase current and bus voltage are collected, after anti-aliasing filtering is conducted, parallel sampling is conducted through a main ADC module and a redundant ADC module which are independently configured, and the following operations are synchronously executed based on a double-buffer-area framework: in a first buffer area, a compensation coefficient updating period is dynamically adjusted, and convergence is restrained; in the second buffer area, generating a voltage gradient prediction sequence, and compensating data abrupt change; when the harmonic frequency spectrum amplitude or the voltage gradient prediction sequence exceeds the limit, an oversampling mode is triggered, a redundant ADC module is allocated to load a multi-order digital filter, and an independent hardware acceleration unit is started to process harmonic compensation and gradient prediction in parallel; and generating a dynamic safety envelope, and if the gradient extreme value in the preset continuous window breaks through the safety envelope, generating an overvoltage fault signal.

The invention discloses an SF6 gas leakage detection method and system based on a photoacoustic spectrum analyzer, and the method comprises the steps: arranging a sampling end to collect an SF6 gas sample, and obtaining stable gas input through constant-current sampling and steady-state pretreatment; steady-state gas is guided into the photoacoustic spectrum analyzer, and resonance frequency stabilization and signal amplification output are achieved through the self-tuning unit; executing double-microphone differential detection and digital filtering processing, and outputting a stable SF6 detection signal with a high signal-to-noise ratio; performing time calibration, abnormity elimination and consistency processing on the detection signal to generate standardized detection data; inputting the standardized data to a Transform model, and performing inversion to generate an SF6 leakage source position and a diffusion path; and displaying an inversion result on a monitoring interface, triggering a sound-light alarm when the inversion result exceeds a limit, and uploading the inversion result to a cloud monitoring platform. According to the invention, the intelligent photoacoustic spectrum system combining photoacoustic-fluid steady-state control and self-tuning detection is constructed, so that high-sensitivity detection and accurate positioning of SF6 gas leakage are realized.

The invention relates to the technical field of welding, in particular to a hot riveting welding head synchronous temperature control method and system based on the temperature change rate, and the method comprises the steps: executing full-power heating pulse triggering operation on a welding head, calculating the pulse duration according to a start timestamp and an end timestamp, calculating the temperature rise, and eliminating peak noise through a digital filtering algorithm; environment temperature and relative humidity are collected in real time, and equivalent heat capacity is calculated; the initial temperature difference between any welding heads is calculated, and a dynamic target temperature curve is constructed; and calculating an actual temperature change rate, synchronously extracting a target change rate of the dynamic target curve at a corresponding moment, calculating a change rate deviation between the two change rates, judging whether intervention adjustment is needed or not, calculating an output signal by using an incremental PID algorithm if intervention adjustment is needed, and adjusting the heating power according to the output signal. According to the scheme, the stability of the hot riveting welding quality is effectively improved by accurately quantifying the thermal characteristics of the heterogeneous welding head, dynamically planning a personalized temperature rising track and performing high-frequency closed-loop regulation and control.

The invention provides a hysteresis loop analysis method for a transformer no-load loss test, and belongs to the technical field of transformers. Exciting voltage and current signals are collected in a transformer no-load state, and an active filter is used for carrying out digital filtering processing to eliminate harmonic interference; a data corresponding relation between magnetic flux density and magnetic field intensity is established through a digital integration algorithm and a magnetic field intensity calculation formula to form original hysteresis data, the original hysteresis data is processed by using a hysteresis loop optimization model, a complete hysteresis loop curve is generated, and the hysteresis loop area is calculated. According to the hysteresis loop area, the hysteresis loss power density is calculated through the iron loss calculation function, the total value of the transformer no-load loss is obtained by combining the eddy current loss calculation result, and the technical problems that the hysteresis loop reconstruction precision is not high and the complex hysteresis phenomenon cannot be adapted in the transformer no-load loss test are solved.

The invention relates to the technical field of micro electro mechanical system sensors and signal processing, in particular to an acceleration sensor temperature drift compensation method and device and electronic equipment, and the method comprises the steps: obtaining the dynamic response data of an acceleration sensor at a plurality of working temperatures; fitting the dynamic response data to obtain a physical parameter and a continuous time transfer function of the acceleration sensor, and determining a digital filter coefficient according to the physical parameter and the continuous time transfer function; fitting based on the digital filter coefficient and the temperature to obtain a linear drift coefficient of the digital filter coefficient and the temperature, constructing a temperature offset compensation model according to the linear drift coefficient, inputting the working temperature of the acceleration sensor into the temperature offset compensation model, and outputting the digital filter coefficient by the compensation model, and performing temperature drift compensation on the acceleration sensor by using the digital filter coefficient. Therefore, the problems of output distortion caused by the dynamic characteristic of the acceleration sensor along with temperature drift, difficulty in realizing effective temperature self-adaptive dynamic compensation and the like are solved.

The invention belongs to the technical field of cognitive radio, and particularly relates to an open set modulation identification method based on time-frequency domain feature learning and fusion. The method comprises the following steps of: receiving a signal by adopting a receiving antenna through electromagnetic spectrum monitoring equipment, capturing a space electromagnetic radiation signal, converting the space electromagnetic radiation signal into an electric signal, amplifying the signal through a low-noise amplifier, performing frequency conversion and filtering through an analog receiver, and converting the received signal into an intermediate-frequency signal. Then, the signal is digitalized through AD sampling, and the intermediate frequency signal is converted into a baseband complex signal through frequency mixing and digital filtering in a digital receiver. Then performing time domain characterization calculation and frequency domain characterization calculation on the signal sampling data to form a plurality of time domain characterization vectors and a plurality of frequency domain characterization vectors; and then the vectors are sent to a trained deep neural network model, reasoning is carried out by using the network model, a reasoning result is post-processed, and a signal modulation identification result is finally obtained. According to the invention, the recognition accuracy of unknown signals is improved.

The invention discloses a fast-locking low-jitter sub-sampling phase-locked loop structure. The sub-sampling phase-locked loop comprises a sub-sampling Bang-Bang phase discrimination circuit, a self-adaptive variable step size digital filter circuit, a delta sigma digital-to-analog conversion circuit and an oscillator circuit. The sub-sampling Bang-Bang phase discrimination circuit generates a phase discrimination output digital control signal according to an input reference signal and a feedback oscillator signal phase error, the adaptive variable step size digital filter circuit adaptively adjusts a filtering gain according to the phase discrimination output digital control signal, and the output of the filter circuit realizes digital-analog conversion after oversampling modulation. And the output analog signal controls the voltage-controlled oscillator to realize rapid low-jitter phase locking of the output and the reference signal.

The invention relates to a full-dynamic exponential increment type low-delay high-precision analog-to-digital converter, which comprises a loop integrator used for receiving an ith-round input signal, and sequentially performing addition processing and integration processing on the ith-round input signal and a feedback signal calibrated by an (i-1) th round to obtain an ith-round integration signal; the first-order exponential increment error feedback noise shaping SAR quantizer is used for carrying out addition processing and multi-bit quantization on the ith round integral signal and the double (i-1) th round residual signal to obtain an ith round quantization signal; the digital-to-analog conversion module is used for sequentially performing format conversion, mismatch calibration and digital-to-analog conversion on the (i-1) th round of quantized signals in the process of processing the ith round of input signals to obtain feedback signals after the (i-1) th round of calibration; and the digital decimation filter module is used for carrying out digital filtering and down-sampling processing on the ith-round quantized signal to obtain an ith-round Nyquist rate output signal. The system can realize higher significant digits in shorter conversion time.

The invention relates to the technical field of fermentation temperature measurement, in particular to a microbial fermentation temperature high-precision monitoring method and system.The method comprises the steps that correlation between fermentation temperature and fermentation heat data of any fermentation layer at all moments in all time periods is analyzed; determining the data credibility according to the similarity of the fermentation temperature variation trend of any fermentation layer and the fermentation temperature variation trend of all the other fermentation layers, so as to screen out a characteristic time period and a characteristic fermentation layer; and based on the fermentation temperature difference between each moment and the adjacent moment of any characteristic fermentation layer, determining a noise characteristic value to screen out a noise moment, de-noising the fermentation temperature at the noise moment, and monitoring the de-noised fermentation temperature. According to the method, the problem that the real fermentation temperature has no judgment noise and is smoothed when the data is denoised by adopting a traditional digital filtering algorithm is solved, and the precision and the reliability of monitoring the microbial fermentation temperature are improved.

An apparatus for calibrating a digital filter to replicate a transfer function of a signal processing device comprising a detector with a first input to receive a first signal; a second input to receive a response signal of the signal processing device to the first signal; a signal modification block; a comparison block and a decimation block; wherein the comparison-block compares a phase and amplitude of the first signal after a correction has been applied by the signal modification block and decimation has been applied by the decimation block; and a feedback loop; wherein detector is configured to determine at least a feedback control signal at a first frequency and a second frequency, different to the first frequency and determine calibration information for programming of the transfer function of said digital filter.

The invention relates to the technical field of radio frequency signal processing, and discloses a digital filtering repair method and system for signal distortion, and the method comprises the steps: obtaining a frequency domain amplitude-frequency response and a phase response; constructing a phase compensation amount by adopting piecewise polynomial fitting and a phase inversion mechanism; a complex number logarithm domain mapping mechanism is adopted to execute composite frequency response inversion; constructing a switchable hybrid digital filter with an amplitude path and a phase path coupled in parallel; multi-band adaptive scheduling is executed; and outputting the radio frequency baseband signal stream. The technical problems that in the prior art, frequency response nonlinear distortion in a broadband range cannot be dealt with by adopting a fixed template or a single-path filter, and particularly, a high-precision and low-delay dynamic compensation effect cannot be realized in a scene that multi-band coupling interference exists in a radio frequency ADC channel with the bandwidth exceeding 800MHz are solved. Due to the fact that the switchable hybrid digital filter is constructed, accurate modeling and flexible recovery of distortion characteristics in broadband signals are achieved.

The invention provides a precious metal analyzer accurate spot measurement method and system based on a micro-area x fluorescence spectrum, and the method comprises the steps: applying an X-ray light beam to a preset to-be-measured point, adjusting the focusing position of the X-ray light beam through a micro-light beam focusing technology, and generating a micro-area light spot which is aligned with the spot measurement position of the preset to-be-measured point in real time; collecting an X fluorescence signal generated by excitation of the micro-area light spot; performing dynamic noise suppression processing on the X fluorescence signal by using a preset adaptive digital filter to generate a denoised X fluorescence signal; inputting the de-noised X fluorescence signal into a preset spectrum peak value automatic identification algorithm to obtain characteristic peak value data; and matching the characteristic peak value data with a preset precious metal element type database to generate an element spot measurement result. According to the method, the composite problems of displacement drift, signal distortion and element misjudgment in microcell point measurement are solved, and the precision and efficiency of precious metal analysis are remarkably improved.

The invention discloses a root mean square value RMS detection method and system, and belongs to the technical field of measurement and control. Wherein a to-be-detected voltage signal is preprocessed by the filter amplification circuit, a square wave signal synchronous with a sine wave zero crossing point is generated through the zero crossing comparison circuit, a signal period boundary is identified, and an integral number of complete and continuous signal periods are extracted in real time through the period detection module; the cycle information identified by the cycle detection module is transmitted to the data storage and processing module, meanwhile, the sampling signal of the high-speed ADC module is transmitted to the data storage and processing module, and sine wave data sampled by the high-speed ADC module is subjected to point-by-point square operation; the square values in a complete period are accumulated and summed, and an original sampling sequence is not stored; fIR digital filtering is carried out on the RMS values of continuous C periods through a digital filtering module; and the dynamic response performance of the system under different frequency bands is remarkably enhanced while the measurement precision is improved.

According to one embodiment, a code recognition method includes: receiving a color image including a portion in which a code is inscribed; generating a first image where a first color correction is applied to the color image so as to change at least one of a ratio of RGB and a combination of HSV; generating a second image in which a first preprocessing digital filter that performs digital filter correction is applied to the first image; generating a third image in which a second color correction different from the first color correction is applied to the color image so as to change at least one of a ratio of RGB or a combination of HSV; generating a fourth image in which a second preprocessing digital filter that performs digital filter correction is applied to the third image; and performing recognition of the code using the second and the fourth images.

The invention discloses a monitoring system and a monitoring method based on an electrocardiograph, which belong to the technical field of electrocardiographs, and are characterized in that interference levels are dynamically divided by extracting a common-mode offset change rate and a phase drift value between leads and carrying out normalized weighted calculation on an error severity index ESEI; under the moderate interference level, the digital filtering intensity is further adaptively adjusted based on the ESEI change trend, accurate evaluation and response regulation and control of the signal quality problem are achieved, and therefore the stability, the accuracy and the intelligent level of an electrocardiogram monitoring system in a complex application scene are effectively improved.

Data transceivers including a transmitter configured with a digital filter, and a receiver configured with an equalizer, are equipped with logic to measure a combined pulse response to a symbol generated by the transmitter at an output of the equalizer, adjust the combined pulse response by an impulse response of the digital filter to generate an adjusted pulse response, and modify the digital filter with one or more floating taps based on the adjusted pulse response.

The invention relates to the technical field of industrial safety, and discloses an electrolytic aluminum short circuit port key operation parameter online monitoring and explosion safety protection system which comprises a parameter real-time monitoring module, a threshold activation judgment module, a digital twin modeling module, a risk dynamic prediction module, a protection decision analysis module and an intervention scheme execution module. By constructing a multi-source signal cooperative verification mechanism, when short-circuit parameters are monitored in real time, a self-adaptive digital filtering algorithm is adopted to dynamically match magnetic field intensity and temperature disturbance characteristics, noise stripping and baseline calibration are carried out on original voltage and current signals, the monitoring accuracy of core parameters such as short-circuit resistance is ensured, false alarm triggering is avoided, and real-time monitoring of the short-circuit parameters is realized. And meanwhile, by establishing a parameter credibility scoring model, when signal distortion exceeds a tolerance threshold, a standby sensing channel is automatically switched, so that the risk of production interruption caused by noise pollution is further reduced, and the anti-interference capability and the operation stability of the system are improved.

The invention discloses a broadband current transformer testing method, device and equipment and a medium, and relates to the technical field of transformer verification. First, first frequency signals of standard current and current to be measured are synchronously obtained, the frequency of the signal to be measured is tracked in real time through a high-speed comparator, and a second frequency signal is accurately generated through the digital frequency synthesis technology. The method comprises the following steps: firstly using a high-order digital filter to measure a broadband signal frequency spectrum, then using an analog mixing technology to shift the signal frequency spectrum, generating a composite signal containing a difference frequency component and a sum frequency component, finally accurately filtering the sum frequency component through the high-order digital filter, and only measuring the difference frequency signal to obtain a ratio error and an angular error of the broadband signal. By converting the measurement of the broadband signal into the measurement of the fixed low-frequency signal, the technical bottleneck of direct sampling in a high-frequency band in the traditional sampling technology is broken through, and the actual measurement ratio error and angular error precision of the broadband current transformer is effectively improved. The system power consumption and the hardware cost are significantly reduced while the measurement precision is ensured, and the reliability and the accuracy of the broadband current transformer test are ensured.

The invention relates to a verification method and system for a mutual inductor calibrator based on accurate frequency tracking. The method comprises the following steps: sampling output signals of a standard mutual inductor and a mutual inductor to be tested to obtain original signals; sequentially performing high-pass and low-pass digital filtering on the original signal to obtain a filtered signal; performing accurate frequency calculation on the filtering signal by adopting a mode of combining zero crossing point detection and a similar triangle interpolation method, and if an absolute value of a difference value between a current fundamental frequency obtained by calculation and a fundamental frequency measured last time is greater than a set value, updating a hardware sampling interval until the absolute value is smaller than the set value; and discrete Fourier transform calculation is carried out on the filtering signals of the standard mutual inductor and the mutual inductor to be detected respectively, fundamental wave amplitudes and fundamental wave phases of the corresponding signals are obtained, and a ratio difference and an angular difference are calculated to serve as verification results of the mutual inductor calibrator. According to the invention, spectrum leakage and a fence effect in the fundamental wave extraction process can be eliminated, and the verification precision of the angular difference and the ratio error of the mutual inductor calibrator is improved.

The invention relates to the technical field of digital filters, and discloses a quantization sensing wide linear minimum error mode adaptive filter, which performs non-uniform low-bit quantization on an input signal and an expected signal by using a quantization parameter to obtain a corresponding quantization value; constructing a linear factor based on the quantization parameter; based on the non-roundness of the input signal, constructing a normalized correlation matrix of the input signal and the linearized error signal, and constructing a compensation matrix in combination with a linear factor; obtaining input signal quantized values at a current moment and a historical moment, constructing an augmented input signal vector, calculating a product of the augmented input signal vector and the compensation matrix, and constructing a corrected input vector; performing wide linear filtering on the corrected input vector to obtain an output signal, and calculating an error signal in combination with an expected signal quantized value; and updating the weight vector at the next moment by using the corrected input vector and the error signal. According to the invention, by introducing a non-uniform low-bit quantization and deviation compensation mechanism, the cost and energy consumption of the analog-to-digital converter are remarkably reduced, and a relatively low steady-state error is kept.

The invention belongs to the field of quantum computing, and particularly relates to a distortion correction optimization method and device for a quantum measurement and control link. The method comprises the following steps: determining a digital filter for distortion correction or a pre-distortion waveform output by the digital filter and used for compensating distortion based on a target parameter value of a target system function fusing quantum measurement and control link signal response characteristics; acquiring an output signal of the quantum measurement and control link provided with the digital filter; and in response to the condition that the output signal does not reach the preset standard, updating the target parameter value or the pre-distortion waveform, and returning to execute the step of acquiring the output signal of the quantum measurement and control link provided with the digital filter until the output signal reaches the preset standard. According to the invention, distortion correction of the quantum measurement and control link can be effectively realized.

The invention relates to the field of power electronics and power management, and discloses a digital-intelligent direct-current power supply operation and maintenance method, system and device and a medium, and the method comprises the following steps: obtaining direct-current power supply system operation parameters collected by a high-precision sensor; performing digital filtering processing on the operation parameters to generate pre-processing data; analyzing the preprocessed data based on a machine learning algorithm, and generating a storage battery charge state, a health state diagnosis result and system state data; dynamically adjusting output parameters of a charging module according to the system state data; based on the historical and real-time operation parameters, generating a fault early warning signal through a fault prediction model; and generating fault diagnosis and processing suggestions according to the fault type knowledge graph. According to the method, through Kalman filtering, the support vector machine, the ARIMA model and the RDF knowledge graph, operation parameters are monitored in real time, faults are predicted, accurate diagnosis suggestions are generated, and the system downtime risk is reduced.

An ADPLL circuit includes a phase comparator for comparing a phase of a reference clock (REFCLK) input signal with a phase of a digitally controlled oscillator clock (DCO_CLK) signal output from a DCO. The phase comparator includes a first ADC connected to receive a REF_P signal corresponding to the phase of the REFCLK signal via a first switch and output an ADC0 signal and a second ADC connected to receive the signal REF_P via a second switch and output an ADC1 signal. The ADPLL circuit further includes a digital filter for receiving the ADC0 and ADC1 signals and determining therefrom a difference between the phases of the DCO_CLK signal and the REFCLK signal. The digital filter provides a DCO control signal to the DCO to control a frequency of operation of the DCO based on the phase difference.

The invention discloses a low-temperature environment LNG (Liquefied Natural Gas) metering sensor drift compensation method and system, and particularly relates to the technical field of sensor drift compensation. Output data of a sensor are collected and processed, and a temperature compensation model of the sensor is established; in the working temperature range, digital filtering processing is carried out on data of displacement change of each measuring range point, and then analysis and mining are carried out; a data longitudinal interval in a temperature range is refined by using a table look-up method, so that the data interval is reduced. And calculating the G value according to the residual error obtained by the table look-up method and the numerical value change condition in each temperature section. If the G value is greater than a preset threshold value of the system, selecting a proper fitting method, such as a least square method or Legendre orthogonal polynomial fitting, according to the distribution of the G value and the data interval when curve fitting is used, so as to further optimize the temperature compensation model; and if the G value is smaller than the system preset threshold value, no subsequent operation is carried out.

A battery monitoring device for monitoring an assembled battery having multiple battery cells includes: a range specifying unit that specifies a detection range; a voltage detection unit that detects a voltage of each battery cell in the detection range, includes an A / D converter for inputting a voltage corresponding to the voltage of each battery cell and a digital filter for inputting a digital signal output from the A / D converter and functioning as a low pass filter, and outputs an output signal of the digital filter as a detection signal representing a detection result of the voltage of each battery cell; and a characteristic setting unit that sets a characteristic of the digital filter.

The embodiment of the invention provides an analog-to-digital converter, an electric quantity detection circuit and a battery management system. The analog-to-digital converter comprises a modulator, a digital filtering module, a signal detector and a selection circuit, the modulator is used for quantizing an input signal to output a quantized signal; the digital filtering module is connected to the modulator and is used for filtering the quantized signal; wherein the digital filtering module comprises at least two digital filters; the signal detector is used for detecting a signal parameter of the input signal, and the signal parameter comprises a frequency fluctuation degree and / or amplitude of the input signal; and the selection circuit is connected to the digital filtering module and the signal detector, and is used for adjusting the order of the digital filtering module according to the signal parameters. According to the analog-to-digital converter provided by the embodiment of the invention, different types of input signals can be adapted, so that optimal configuration of the different types of input signals is realized, and rapid and high-precision measurement is achieved.

The invention relates to a signal acquisition device of a cadmium zinc telluride detector based on multiple channels, which is characterized in that a multi-channel parallel processing unit, a dynamic baseline drift correction unit, a self-adaptive dead time control unit and an energy spectrum reconstruction and trailing suppression unit are mutually matched; reverse compensation current can be injected into each channel through the dynamic baseline drift correction unit so as to adjust the output of each channel, and low-frequency noise interference is eliminated in combination with a digital filtering algorithm. The dead time can be dynamically adjusted according to the current channel counting rate through the self-adaptive dead time control unit, multiple counters are started to work alternately in a first counting rate mode, and counter resources are combined in a second counting rate mode to improve the resolution; through the energy spectrum reconstruction and trailing suppression unit, a charge collection curve can be fitted through correlation analysis of timestamps and amplitude data, hole trailing signals are recognized, counter shielding logic is triggered, related noise interference is reduced on the whole, and signal collection accuracy is improved.

The invention relates to the field of inter-satellite ranging, in particular to a GRACE-FO inter-satellite ranging data processing method based on improved CRN filtering, and the method comprises the steps: constructing an LRI1A data preprocessing process in a low-order gravity satellite detector, reading LRI1A-M and LRI1A-T phase measurement original data, and carrying out the phase unwrapping and time mark correction processing; calculating a gain fluctuation level at an orbit frequency, and selecting a low-pass filter design parameter index; constructing an FIR digital filter based on a window function method, calculating time domain tap coefficients of a CRN filter and an improved filter, and carrying out normalization processing at an orbital frequency; according to an LRI biased distance calculation principle, calculating an inter-satellite biased distance and an inter-satellite distance, a rate and an acceleration after low-pass filtering; zero filling is carried out on the offset distance between satellites, the amplitude-frequency response and phase-frequency response characteristics of the offset distance between the satellites are calculated, and the improved filtering algorithm has great advantages in the aspects of improving passband flatness, enhancing high-frequency noise suppression and shortening the order of the filter. According to the invention, the precision and stability of gravitational field inversion are significantly improved.

The invention discloses a simulated Kalman filter circuit based on a molybdenum disulfide (MoS2) memristive transistor. Efficient fusion of sensor data is realized in the field of automatic driving. According to the circuit, the Kalman filtering gain can be accurately adjusted by adjusting the conductance value of the MoS2 memristor transistor, so that the circuit is suitable for various automatic driving scenes. The simulated Kalman filter circuit can effectively fuse a laser radar and a millimeter wave radar, can accurately estimate the coordinates of a target vehicle, and can significantly reduce power consumption while realizing a data processing speed equivalent to that of a digital filter.

The invention provides an audio signal output method and device, electronic equipment and a storage medium. The method comprises the following steps: in response to an audio playing device access event of an audio playing system, constructing an audio output channel of an accessed audio playing device; determining an initial audio equalizer parameter corresponding to the audio output channel according to the attribute configuration of the audio output channel; performing environment adaptability adjustment on the initial audio equalizer parameter based on the environment characteristics of the accessed audio playing device to obtain a target audio equalizer parameter; generating a digital filter chain corresponding to the audio output channel according to the target audio equalizer parameter; and when the accessed audio playing equipment performs audio playing, adjusting the audio signal to be played through the digital filter chain, and outputting the adjusted audio signal through the audio output channel. According to the invention, the fine listening requirement can be met, and a listener can obtain good auditory experience at any position.