92 results about "Current noise" patented technology

The embodiment of the invention discloses a data noise reduction method and device for multi-level magnetotelluric data and a medium, and relates to the technical field of noise reduction processing, and the method comprises the steps: collecting an original magnetotelluric data sequence, determining first noise reduction data, carrying out the variational mode decomposition of the first noise reduction data, and determining second noise reduction data; determining a first signal-to-noise ratio corresponding to the second noise reduction data, and when the first signal-to-noise ratio is smaller than a preset signal-to-noise ratio reference value, performing dynamic fusion on the residual signal to determine a fused residual signal; performing noise reduction processing on the fused residual signal, determining fused residual noise reduction data, performing residual recovery based on the fused residual noise reduction data, and determining current noise reduction data after residual recovery; when the second signal-to-noise ratio corresponding to the current noise reduction data is not smaller than the signal-to-noise ratio reference value, the current noise reduction data is output, the signal recovery requirement of weak effective information in the magnetotelluric data can be met, the signal fidelity is enhanced, and the deep noise processing and weak signal protection capabilities are improved.

The invention discloses a six-dimensional sensor noise covariance matrix adjusting system based on impact response, and relates to the technical field of data processing, and the system comprises a base covariance construction module which is used for obtaining multi-sensor channel impact data, calculating a channel-level indication quantity, and fusing the channel-level indication quantity to obtain an impact score; determining an allowed adjustment channel set and an adjustable sub-block index, generating a diagonal priority mark, and obtaining a base covariance through weighted smoothing; the increment calculation verification module intercepts data, constructs a spatio-temporal data slice matrix, carries out shrinkage robustness estimation, generates candidate trial increment by combining channel weight and characteristic decomposition, and outputs unique trial increment after verification of an improved gate and a certificate margin gate; the adjustment fusion optimization module superposes the trial writing increment to the base covariance, after stability and consistency certificate inspection, self-adaptive adjustment is performed according to a three-section strategy, and a current noise covariance matrix is output through forgetting fusion; and the problems of numerical instability and distortion caused by redundancy adjustment in an impact environment are avoided.

The invention relates to the technical field of signal processing, and particularly provides a full-quantization spectrum characteristic statistical method, system and device and a storage medium, and the method comprises the steps: discretizing a current sampling signal frequency band into a continuous frequency point unit sequence according to a preset rule, and mapping a signal intensity value into an intensity level according to the preset rule; if the signal intensity exceeds the current noise base value, determining the frequency point range of the current sampling signal by extracting the center frequency point and the effective bandwidth of the current sampling signal, and recording the intensity level mapped for all frequency point units in the range once; if the signal intensity does not exceed the current noise base value, recording the intensity grade of mapping for one time for a frequency point unit in the frequency point unit sequence of the current sampling signal; and counting all involved frequency point units in the frequency spectrum recording process and the occurrence frequency of each intensity level recorded on each frequency point unit. According to the invention, the problem of virtual high background noise caused by a traditional peak value holding mode is solved.

The invention provides a pressure sensor real-time fault detection method based on dynamic environment adaptation, and belongs to the technical field of sensor fault detection. The method comprises the following steps: establishing a time domain association data set of noise-sensor signals by synchronously collecting environmental noise signals and pressure sensor output signals in real time; performing spectral analysis on the environmental noise signal, dynamically dividing frequency bands, and calculating energy distribution of each frequency band; dynamically generating an operation delay threshold according to the energy distribution and the weight factor of each frequency band; calculating the reliability coefficient of the operation state of the sensor by combining the time domain characteristics of the output signal of the pressure sensor and the current noise energy distribution; when it is detected that the output signal of the pressure sensor is abnormal, the abnormal duration is corrected based on the operation state credibility coefficient, the corrected duration is compared with the dynamic operation delay threshold value, and whether the fault is a real fault or not is judged. According to the invention, environmental noise interference can be effectively suppressed, and the accuracy and reliability of pressure sensor fault detection are improved.

The invention provides an air conditioner, a control method and device of the air conditioner, a storage medium and a computer program product. The method comprises the steps that original noise signals generated when the air conditioner operates are collected; the collected original noise signals are input into a pre-trained noise recognition model to generate noise reduction signals, the noise recognition model is a Swinin-Conv-UNet mixed model, and the noise reduction signals comprise noise source and / or type information and corresponding noise intensity information; according to the generated noise reduction signal, the current noise source and / or type and the corresponding noise intensity of the air conditioner are / is determined; according to the determined current noise source and / or type of the air conditioner and the corresponding noise intensity, a noise reduction control strategy of the air conditioner is obtained; and a corresponding control instruction is generated according to the obtained noise reduction control strategy, and the air conditioner is controlled to execute. According to the scheme, the air conditioner noise can be remarkably reduced.

The invention provides a magnetic field traveling wave signal processing method for cable fault detection and related equipment, and relates to the technical field of cable fault detection, and the method comprises the steps: configuring a distributed sensor according to an identified key position of a cable, and collecting a magnetic field traveling wave signal of the cable through the distributed sensor, and obtaining a time sequence signal data set; performing preprocessing and signal enhancement on the time sequence signal data set in sequence, and inputting signal features of the time sequence signal data set after signal enhancement into a pre-optimized fault identification model to obtain a fault positioning result of the cable; wherein the fault identification model is obtained by performing model parameter optimization by adopting a pre-established multi-objective function based on a particle swarm and a preset particle search strategy, and the particle search strategy is set according to a preset speed updating mechanism and a current noise interference state. Therefore, the method effectively enhances the accuracy and practicability of the fault detection system while improving the quality of the cable fault signal.

The present disclosure provides an operational amplifier current noise testing device and method, relates to the technical field of operational amplifier noise testing, aims to find the position of the introduced pole by testing the input end capacitor, and compensate the influence of the introduced pole of the sampling resistance and stray capacitor through the mathematical correction method, so as to accurately measure the current noise characteristics of the operational amplifier. The device comprises: a device under test module comprising an operational amplifier to be tested and a sampling resistor, wherein the sampling resistor is used to convert the current noise at the input end of the operational amplifier into voltage noise; an auxiliary amplifier module for further amplifying the voltage noise; a capacitor testing module for testing the total input capacitance of the device under test module, the total input capacitance comprising the input capacitance of the operational amplifier itself and the stray capacitance introduced by the system; wherein after the total input capacitance is obtained, the attenuation frequency of the noise signal is corrected according to the total input capacitance to obtain the corrected noise signal.

The invention provides an image correction method and device and electronic equipment. According to the pixel feature value of each pixel point in the current image frame needing to be corrected, the pixel feature value of each pixel point in the previous image frame and the noise value recorded by the current noise matrix, the target pixel point needing to be corrected is locked, and the positioning precision of the fixed noise source causing the non-uniform response is remarkably improved. Further aiming at each target pixel point, on the basis of a pixel characteristic value of the target pixel point, a pixel characteristic value of a reference pixel point of the target pixel point in a previous image frame, a global pixel characteristic value used for representing the previous image frame, and a noise value matched with the position of the target pixel point in a current noise matrix, determining the position of the target pixel point in the current noise matrix; according to the method, the noise value of the target pixel point is determined, the high-frequency noise and the low-frequency noise are integrally and effectively suppressed, the limitation that the low-frequency noise is difficult to correct by traditional equipment with separation blades is broken through, and the correction precision of non-uniform response is improved.

The invention relates to a proximity sensing control method and device, electronic equipment, a medium and a program product, and the method comprises the steps: obtaining the target attitude information of a terminal when a second proximity sensing value is sampled under the condition that the first proximity sensing value is greater than a proximity sensing threshold and the second proximity sensing value is greater than a far-away sensing threshold; if it is determined that the terminal is currently in a far-away state according to the target attitude information, obtaining a current bottom noise value of the proximity sensor, and updating a far-away sensing threshold and a proximity sensing threshold according to the current bottom noise value; according to the embodiment of the invention, under the condition that the first proximity induction value is greater than the proximity induction threshold, if the second proximity induction value is greater than the far-away induction threshold, but the terminal is currently in the far-away state, the far-away induction threshold and the proximity induction threshold are updated in time, so that the reliability of the proximity induction function of the terminal can be effectively improved.

This application provides a noise reduction mode switching method, apparatus, and noise reduction device, specifically relating to the technical field of audio noise reduction. The method includes: obtaining n first zeros and n first poles corresponding to the current system function of a filter in the complex plane, and n second zeros and n second poles corresponding to the target system function of the filter in the complex plane; combining the n first zeros, first poles, second zeros, and second poles to obtain n zero-point groups and n pole groups, wherein each zero-point group includes one first zero and one second zero, and each pole group includes one first pole and one second pole; performing zero-pole switching according to the n zero-point groups and the n pole groups to switch the noise reduction device from the current noise reduction mode to the target noise reduction mode. This disclosure not only enables the filter to smoothly switch from the current noise reduction mode to the target noise reduction mode, but also shortens the noise reduction mode switching time.

A display pixel compensation circuit device using a dual-slope includes N channel multiplexers respectively coupled to sensing lines of corresponding channels; a sensing current conveyor configured to sense, on a target sensing line selected by control signals, a drain current of a target pixel's driving thin-film transistor; a noise current conveyor configured to sense, on an adjacent sensing line, panel noise, the adjacent sensing line being next to the target sensing line; and dual-slope error-detection circuitry configured to derive a pixel error from outputs of the two conveyors, convert the error into a sign value and an error value, and store these in a memory. In subsequent frames, the error value is arithmetically added to or subtracted from the digital pixel signal according to the sign value and supplied to respective channels, enabling real-time multi-bit correction with reduced silicon area and improved power efficiency.

The present invention provides a method for non-power-off detection of the acoustic fingerprint of a transformer and status warning, which includes the following steps: collecting the acoustic fingerprint during the operation of the transformer; collecting a plurality of historical current values and the corresponding first historical noise values during the operation of the transformer; fitting the plurality of historical current values and the corresponding first historical noise values to obtain a current noise function curve; collecting the real-time operating current and the corresponding first real-time noise value during the operation of the transformer; calculating a first predicted noise value according to the real-time operating current and the current noise function curve; performing noise cancellation processing on the acoustic fingerprint according to the first predicted noise value and the first real-time noise value; performing non-power-off detection on the real-time status of the transformer and warning of the fault status according to the acoustic fingerprint after the noise cancellation processing. The present invention can perform non-power-off detection on the real-time status of the transformer and warning of the fault status.

The invention discloses an ultra-thin gate oxide breakdown resistance test method under ESD stress, and the method comprises the steps: applying voltage to a gate electrode and a drain electrode of a to-be-tested semiconductor device, and carrying out the measurement to obtain a transfer characteristic curve of the to-be-tested device; applying an electrostatic pulse of which the amplitude increases progressively to the grid of the to-be-tested device, performing a TLP test, obtaining a grid stress voltage and a leakage current of the to-be-tested device under TLP stress, performing the TLP test circularly until the leakage current changes by more than three orders of magnitude, and regarding that a gate oxide layer of the to-be-tested device is broken down; and according to a channel carrier number fluctuation model and drain current noise, calculating the defect density of the gate oxide layer of the to-be-tested device after each round of TLP stress application, and utilizing the stress voltage and the defect density under each round of TLP stress to obtain a fitting curve of the stress voltage and the defect density for predicting the breakdown voltage of the gate oxide layer of the device of the same type. According to the method, the breakdown voltage of the gate oxide layer of the ESD to-be-protected device can be predicted in a large-scale and batch manner.

The invention provides a sidelobe cancellation diagonal loading capacity calculation method, which comprises the steps of calculating theoretical noise power through noise temperature of a system, and calculating a first diagonal loading capacity according to the theoretical noise power; calculating the current noise power of the system through the actual echo signal, and determining a second diagonal loading amount according to the current noise power; taking the smaller one of the first diagonal loading capacity and the second diagonal loading capacity as the current diagonal loading capacity; the second diagonal loading amount is updated in real time according to the current noise power of the system, and when the updated second diagonal loading amount is larger than the current diagonal loading amount, the first diagonal loading amount serves as the current diagonal loading amount; and otherwise, taking the updated second diagonal loading amount as the current diagonal loading amount. The diagonal loading amount is dynamically updated through the real-time echo signal state, and the performance of a sidelobe cancellation algorithm can be effectively improved.

The present application relates to the technical field of data processing, more particularly, the present application relates to a kind of power supply monitoring method for atmosphere light bar production, the method comprises: obtaining and preprocessing power supply signal in current time window, obtain current estimated noise sequence;Power supply signal is converted into Hankel matrix and is carried out singular value decomposition, the cumulative energy ratio of each truncation order is calculated;According to current noise level and the degree of aggregation of data in current estimated noise sequence, calculate adaptive energy threshold;Select the minimum truncation order of cumulative energy ratio greater than the threshold as target truncation order, reconstruct Hankel matrix and restore to obtain target power supply signal;Through abnormal detection to target power supply signal, identify power supply anomaly.The present application can improve the filtering effect of SVD filtering to power supply signal, realize the accurate monitoring of power supply anomaly in light bar production process.

The invention discloses a position determination method and device of noise reduction equipment and a nonvolatile storage medium. The method comprises the following steps: setting initial positions and speed ranges for a plurality of active noise reduction devices in a target area; establishing a fitness function; on the basis of the initial position, the speed range and the fitness function, the multiple active noise reduction devices are controlled to move, the adjusted positions corresponding to the multiple active noise reduction devices are determined, and the noise reduction effect after the positions are adjusted is determined; and repeating the operations of controlling the plurality of active noise reduction devices to move, determining the adjusted positions corresponding to the plurality of active noise reduction devices and determining the noise reduction effect after the positions are adjusted until a preset stop condition is met, and determining the target positions corresponding to the plurality of active noise reduction devices in the target area. The technical problem that the noise reduction effect is poor due to the fact that an existing noise reduction sensor is usually placed at a fixed position and cannot be dynamically adjusted according to noise field changes is solved.

The application discloses a kind of wide-band photoelectric telescope detection ability high-precision calculation modeling methods, belong to photoelectric measurement technical field.The method is by the spectral integration of target photon flux density, system response and noise source in the whole detection waveband, accurately calculate signal electron number, background electron number and total noise, and then solve system signal-to-noise ratio (SNR).Specifically include: based on target apparent magnitude and blackbody radiation model calculation photon flux density;Integral calculation signal electron number and background electron number;Comprehensively consider photon noise, dark current noise and readout noise, integral solution total noise;Finally, based on the integral result, calculate signal-to-noise ratio.The application overcomes the deficiency of traditional average wavelength approximation method, significantly improves the signal-to-noise ratio calculation precision, and is suitable for the design and performance evaluation of different photoelectric systems.

The application discloses a low-noise instrument amplification circuit and system adopting a cross-temperature separation structure, relates to the technical field of analog circuit design and weak signal detection, and specifically comprises a low-temperature front-end component, a room-temperature end component and a cross-temperature connection cable. The low-temperature front-end component comprises a first junction field effect transistor (JFET), a second JFET and a source coupling resistor; the room-temperature end component comprises a first JFET constant current network, a second JFET constant current network, a first drain-source bias network, a second drain-source bias network and an operational amplifier circuit. The drain and the source of the first JFET and the second JFET are electrically connected to the room-temperature end component through the cross-temperature connection cable, and a signal source is connected between the gate of the first JFET and the gate of the second JFET through a shielded differential twisted pair. The structure aims to reduce the equivalent input current noise in the signal readout with a very high impedance temperature ratio and reduce the low-temperature thermal load.

The invention belongs to the field of noise processing, and provides a method and system for controlling noise based on wheel equivalent taper steel rail abrasion filtering. The method comprises the steps that the relation between the equivalent taper and the transverse acceleration of a framework is calculated in a simulation mode, and the condition for triggering the bogie instability alarm is determined; meanwhile, in combination with vehicle vibration data, the early warning limit values of wheel polygons and rail corrugation are optimized; when any one of a bogie instability alarm condition, an early warning limit value not lower than a wheel polygon and an early warning limit value not lower than steel rail corrugation is met, a current noise signal in the vehicle is obtained; and performing filtering control on the current noise signal in the vehicle, judging whether the noise signal after filtering control is within a preset normal range or not, if so, outputting the noise signal after filtering control, and if not, re-judging whether the bogie is overhauled or not. The noise in the vehicle can be reduced, and the comfortable experience of passengers is improved.

Quantifying and visualizing system impairments in an optical network (100) includes, subsequent to determining baseline noise impairment values for a plurality of segments (310, 312, 314, 316, 318, 320, 322, 324) in an end-to-end path for a photonic service, determining current noise impairment values for the plurality of segments, wherein the baseline noise impairment values and the current noise impairment values relate to Signal-to-Noise Ratio (SNR) margin for the photonic service. The method includes displaying a visualization (350) of the end-to-end path for the photonic service at a level of each segment of the plurality of segments, wherein the visualization (350) includes a delta (356) between the baseline noise impairment values and the current noise impairment values and associated impact on overall noise values for the photonic service. The quantifying and visualizing system can include receiving a selection of a segment in the visualization (350) and displaying a health tile visualization (360) illustrating one or more components (310, 312, 316, 318, 322, 324, 120) in the segment.

The present application relates to the technical field of signal processing, and specifically provides a full-quantization spectrum feature statistical method, system, device and storage medium, comprising: discretizing a current sampling signal frequency band into a continuous frequency point unit sequence according to a preset rule, and mapping a signal intensity value into an intensity level according to a preset rule; if the signal intensity exceeds a current noise base value, determining a frequency point range of the current sampling signal by extracting a center frequency point and an effective bandwidth thereof, and recording the mapped intensity level of all frequency point units in the range once; if the signal intensity does not exceed the current noise base value, recording the mapped intensity level of a frequency point unit in the frequency point unit sequence of the current sampling signal once; and counting all involved frequency point units in the present spectrum recording process, and the occurrence number of each intensity level recorded on each frequency point unit. The present application solves the problem of false high background noise caused by the traditional peak value maintaining mode.

The application provides an anti-interference method of a communication channel and a vehicle, and relates to the technical field of intelligent networking. The method comprises the following steps: in the case that it is detected that the vehicle is in hand-vehicle networking, determining whether a car radio of the vehicle causes communication interference to the hand-vehicle networking; in the case that the car radio causes communication interference to the hand-vehicle networking, determining a target anti-interference strategy of the hand-vehicle networking based on a first power and a current noise floor power of a communication channel currently used by the hand-vehicle networking, wherein the first power is a noise floor power of the communication channel when the car radio is turned off; and executing the target anti-interference strategy to eliminate the communication interference. Based on the above scheme, the communication stability of the hand-vehicle networking can be improved, so as to improve the hand-vehicle networking experience of a user.

The application belongs to the technical field of laser radar, and discloses a laser driver circuit, method, system and electronic equipment under variable modulation depth. The circuit comprises a low-speed precision digital-to-analog converter for detecting a modulation depth mode and generating a corresponding analog setting signal; a high-speed digital-to-analog converter, an input end of which receives a full-range digital waveform code stream and dynamically configures a full-range output current according to the analog setting signal; and a transimpedance conversion circuit, a transimpedance resistance value of which is fixedly set and used for converting a modulation current signal into a voltage signal to drive a subsequent laser. When switching to a smaller modulation depth mode, the analog setting signal is reduced to reduce the full-range output current, and the high-speed digital-to-analog converter receives the full-range digital code stream. The application can reduce the driving amplitude, suppress the analog current noise of the voltage drop source, stabilize the quantization accuracy, eliminate the double penalty effect, and improve the beat signal quality under the small modulation depth mode.

Implementations described herein relate to providing noise suppression for speech data with reduced power consumption. In some implementations, a computer-implemented method includes receiving a current time frame of speech data, e.g., after receiving a previous time frame associated with a previous noise suppression mask. The current time frame is transformed to a current frequency frame in the frequency domain. A noise classifier is used to determine whether to create a current noise suppression mask for the current frame. If it is determined to create the mask, the mask is created and multiplied by the current frequency frame to obtain a noise-suppressed frequency frame. If it is determined to not create the current mask, the previous noise suppression mask is multiplied with the current frequency frame to obtain the noise-suppressed frequency frame, without creating a mask. The noise-suppressed frequency frame is transformed to a time frame and output.

The invention discloses a cable path identification method based on an intelligent sensor, and relates to the technical field of cable path identification. In order to solve the problems of low efficiency, poor precision, susceptibility to interference and the like in the existing cable path identification technology, the method comprises the following steps: acquiring original signals such as a magnetic field, vibration, temperature, current noise and the like generated by a cable along a path through a multi-mode intelligent sensor arranged in a to-be-detected area, and carrying out preprocessing, feature extraction and fusion to generate a stable path feature vector; a path candidate modeling mechanism is introduced, a model is established by utilizing feature distribution of different paths, and an actual path is identified and judged through a weighted similarity scoring method. Multi-source data fusion, dynamic path modeling and scoring decision making are supported, and the method is particularly suitable for non-excavation path recognition scenes in urban underground cable dense areas; according to the method, the identification error is remarkably reduced, the path restoration degree is improved, key support is provided for cable fault diagnosis and operation and maintenance decision, and the method has wide engineering application value.

The application discloses a noise control method and device of a vehicle and the vehicle, and relates to the technical field of vehicle noise control. The method comprises the following steps: acquiring parameter values of a target state parameter group of a target vehicle, wherein the target state parameter group comprises multiple state parameters, each state parameter is related to current noise generated by vibration of the target vehicle; determining an equipment sound wave signal based on the parameter values of the target state parameter group; and controlling a sound playing equipment of the target vehicle to play sound based on the equipment sound wave signal, so that the current noise sound wave signal interferes with the equipment sound wave signal of the sound playing equipment when the current noise sound wave signal propagates to a cabin area of the target vehicle, and the noise loudness in the cabin area is less than a preset loudness threshold. The application solves the technical problem of large noise loudness of a vehicle.

The application relates to the technical field of load identification, in particular to a load identification method and device based on feature repair. The method comprises the following steps: obtaining noise-free current data, current data and power frequency voltage data of a plurality of types of load monomers in operation under the power consumption scene with / without electrical noise interference, so as to construct a load disturbed feature data set and a base data; calculating the difference between the current data and the noise-free current data to obtain current noise; amplifying the current noise of the current data in the load disturbed feature data set and adding Gaussian noise to obtain a noise-added sequence; constructing a training data set based on the noise-added sequence, a noise-added step, conditional information, the load disturbed feature data set and a label; training a conditional diffusion model and a load identification model by using the training data set; when a total loss function meets a set requirement, fine-tuning training is performed after pruning the model; and real-time identification is performed by using the trained model. The method can improve the load identification precision.

A method for identifying trapped atomic configurations in the gate oxide layer of MOSFETs comprises the following steps: constructing an atomic-level model of the near-interface oxide layer of MOSFETs and introducing various single defect configurations, thereby forming several defect models containing single defect configurations; calculating the electronic state density for each defect model, qualitatively characterizing the electronic state density peak introduced by the corresponding defect, i.e., the position of the electrically neutral defect energy level; defining the defect formation energy, fitting and solving the charge transition energy levels between different charge states of each defect model, i.e., the position of the charged defect energy level; measuring the low-frequency 1 / f leakage current noise power spectrum of the MOSFETs device, solving the trap distribution in the gate oxide layer of the MOSFETs device, and analyzing the position of the trap center; comparing the position of the electrically neutral defect energy level, the position of the charged defect energy level, and the position of the trap center, to identify the trapped atomic configuration that causes the leakage current noise of the MOSFETs device.

This application provides a semantic signal recovery method, an electronic device, and a readable storage medium, belonging to the fields of wireless communication and artificial intelligence technology. The method includes: performing preliminary noise prediction on a distorted semantic signal based on the current noise propagation time step to obtain a preliminary noise component; performing noise reduction estimation on the distorted semantic signal based on the preliminary noise component to obtain an estimated clean semantic signal; performing semantic fuzzing processing on the estimated clean semantic signal to obtain a fuzzy clean semantic signal; adding noise to the fuzzy clean semantic signal based on the preliminary noise component to generate fuzzy adversarial samples; performing sample noise prediction on the fuzzy adversarial samples based on the current noise propagation time step to obtain adversarial sample noise components; and performing skip-denoising on the distorted semantic signal based on the preliminary noise component and the adversarial sample noise components to obtain a target recovery signal. This application embodiment can effectively improve semantic communication efficiency in scenarios lacking prior channel information.

The utility model discloses a modularized audio frequency distributor which comprises a plurality of fixed audio frequency distribution isolation modules with independent channels and a plurality of optional function modules, the fixed audio frequency distribution isolation modules are arranged in a main shell, and the function modules comprise phantom power supply modules, audio frequency signal level indication modules and extended audio frequency distribution isolation modules. The main shell is provided with a modular slot, and any one or more functional modules are connected with the modular slot in a pluggable mode. According to the utility model, through the center tap design of the four-winding isolation transformer, input / output signal physical isolation is realized, common-ground current noise interference is eliminated, and the modular slot supports plug and play of functional modules such as phantom power supply, level indication and channel expansion. The problems of common-ground switching noise of traditional equipment and damage of a phantom power supply to an isolation structure are solved, flexible function configuration is realized through a hot plug design, system wiring complexity is reduced, and audio signal transmission quality and equipment maintenance efficiency are improved.