37 results about "Channel gating" patented technology

A chess-like piece positioning and recognition system, including: an MCU, an RFID module, multi-channel analog switches, an electromagnet and communication signal switch unit, an electromagnetic drive unit, antennas, silicon steel blocks, and pieces. The MCU is used for communication with the RFID module, selecting channels of the multi-channel analog switches, and electromagnet and communication signal switch selection. The RFID module is used for reading information from the pieces. The multi-channel analog switches are used for group gating and intra-group channel gating of the RF channels. The electromagnet and communication signal switch unit is used for switching between the electromagnetic drive unit and the RF channels. The electromagnetic drive unit is used for driving an electromagnet. The antenna is used for sending and receiving signals from the pieces and also serves as the coil for the electromagnet. The silicon steel block is used as the core of the electromagnet, which generates a magnetic attraction to the pieces after being magnetized.

The invention belongs to the technical field of biological feature recognition, and discloses an automatic recognition and automatic switching system based on a multifunctional USB peripheral interface, which comprises a function module, a state detection module, a USB signal switching module and a main control module, the function module is used for accessing an external device and feeding back a voltage signal to the main control module and the state detection module; the state detection module is used for judging whether external equipment is accessed or not and judging the type of the accessed external equipment; the USB signal switching module is used for opening an internet access channel or a PC / OTG channel; the beneficial effects of the invention are as follows: 1, hardware-level channel gating is realized, software intervention is not needed, and rapid switching is realized; 2, a special detection chip is not needed, and the cost is reduced; and 3, the interface resource utilization rate is improved, and the system redundancy is reduced. And 4, three scenes of the internet access, the PC and the OTG are automatically identified, user configuration is not needed, and the compatibility is good.

The invention discloses a hardware acceleration deployment method of an ultrasonic full-focus algorithm on an FPGA (Field Programmable Gate Array) platform, and relates to the technical field of deployment of an acoustic imaging algorithm on the FPGA platform, a master-slave structure taking the FPGA platform as a master controller is adopted, and a plurality of FPGA slaves are controlled to collect and calculate parameters in parallel through channel gating; a full-focus parameter calculation process is modularly divided, the calculation throughput rate is improved through a pipeline method, and calculation results of the multiple FPGA slaves are transmitted to the FPGA host for imaging; furthermore, a mirror image full-focus calculation method is adopted, parameter multiplexing is achieved through a recombination calculation process, and the parameter calculation time is shortened by half. The problems that an ultrasonic full-focusing imaging algorithm is complex in calculation, long in time consumption and difficult to deploy in a lower computer platform can be solved, development of a low-cost and light-weight ultrasonic phased array full-focusing online detection instrument is facilitated, and the method has important significance on maintenance and health monitoring of a pressure container.

The invention relates to a small target detection method and system based on adaptive texture perception and frequency domain-cross-layer collaborative optimization, and the method comprises the steps: providing a cross-scale texture guide module, independently capturing the spatial distribution characteristics of heterogeneous features through a multi-scale texture extraction unit, and constructing scene-level texture prior through an additive fusion mechanism; a frequency domain detail enhancement module is provided, features are mapped to a complex frequency spectrum space through real number fast Fourier transform, dynamic reweighting is carried out on medium-high frequency components by using an adaptive weight vector, and target contour information is explicitly enhanced in combination with inverse transform and a residual connection mechanism; a cross-layer feature stabilization module is designed, context clues of different granularities are captured through lightweight multi-scale receptive field extension, and a dynamic channel gating modulation mechanism is introduced to perform active intervention on a feature evolution path. Compared with the prior art, the method has the advantages of characteristic enhancement, stable positioning, balanced detection precision and operation efficiency and the like.

The invention discloses a dual-band broadband direction finding system and method based on antenna group gating. The dual-band broadband direction finding system comprises an antenna array, a signal conversion unit, a channel gating unit, a digital processing unit and a control and interaction unit, the antenna array is used for integrally covering the first antenna group and the second antenna group based on unified geometric framework arrangement, and realizing unified output of cross-band direction finding results; the signal conversion unit is used for converting a radio frequency signal into a signal which can be processed by the digital processing unit; the channel gating unit is used for realizing configurable connection between the first antenna group or the second antenna group and a receiving channel of the digital processing unit; the digital processing unit is used for completing signal sampling, feature extraction and direction estimation operation and outputting a direction finding result; and the control and interaction unit is used for outputting parameters and results. According to the invention, the high-frequency direction-finding antenna group and the low-frequency direction-finding antenna group are respectively constructed under a unified hexagonal geometric framework, so that the system gives consideration to omnidirectional coverage, direction-finding sensitivity and engineering implementation feasibility under the condition of a wide frequency band.

The invention belongs to the technical field of radar radiation source identification. The invention provides a radar radiation source identification method based on relation perception and prototype optimization. According to the embodiment of the invention, through channel gating and a soft attention mechanism, invalid frequency band features are automatically inhibited, and the weight of a bad sample which deviates from the center is reduced. And a GCN is introduced to construct a sparse prototype graph, so that the model can perceive a similarity relationship between categories, and local consistency is enhanced through a graph propagation mechanism. And in cooperation with prototype comparison loss, centers of similar categories are forcibly pushed away, so that a clearer isolation strip is formed at a decision boundary, and the false identification rate is remarkably reduced. A residual mean fusion structure is also designed. When an attention mechanism may fail due to extremely small sample size, a mean value prototype on a residual path can play a role in guaranteeing the bottom, so that the stability of model training is ensured; and when the sample size is slightly large, the attention mechanism can provide finer feature expression, so that the universality of the model under different small sample settings is realized.

The invention provides a cross-border fund flow risk assessment method which can be applied to the technical field of artificial intelligence. The method comprises the following steps: acquiring a standardized event stream; for the standardized events in the time window, constructing an incremental graph structure used for representing fund link flow characteristics; in the incremental graph structure, node fission strength is calculated for an initial edge in the current time window, a node with the node fission strength exceeding a first preset threshold value serves as a fission starting point to execute three-hop breadth-first search, and a search result is obtained; performing dual-channel gating convolution processing on the transaction sequence and the regional feature sequence represented by the candidate sub-graph determined based on the target path to obtain a sub-graph embedded vector; and splicing the sub-graph embedding vector with the predicted merging residual duration, the node fission strength and the cross-regional hop count into a state vector, inputting the state vector into a game reinforcement learning model to output the freezing probability of a candidate sub-graph, and determining a risk assessment result of the standardized event according to the freezing probability.

The application discloses a communication device of optional communication channel, comprising one or more UART receiving ports, one or more UART sending ports, a port gating module; the port gating module comprises an input end and an output end, wherein the number of the input end of the port gating module is the same as the number of the UART receiving ports, and the number of the output end of the port gating module is the same as the number of the UART sending ports; the UART receiving ports are connected with the input end of the port gating module in one-to-one correspondence, and the UART sending port module is connected with the output end of the port gating module in one-to-one correspondence; the port gating module is used for connecting one or more target input ends with one or more target output ends in response to a channel gating instruction. The configurable gating, switching and expansion among multiple channels are realized, and the flexible and complex bus data transmission requirement is met.

The application discloses an atomizing device, which comprises a shell assembly, a first atomizer, a second atomizer and a gating structure. The shell assembly is surrounded to form a mounting cavity and is provided with an air inlet channel communicated with the mounting cavity. The first atomizer, the second atomizer and the gating structure are arranged in the mounting cavity. The first atomizer comprises a first atomizing assembly, and the first atomizing assembly is provided with a first atomizing channel. The second atomizer comprises a second atomizing assembly, and the second atomizing assembly is provided with a second atomizing channel. The gating structure is used for selectively connecting one of the first atomizing channel and the second atomizing channel with the air inlet channel in fluid communication. The atomizing power of the first atomizing assembly is greater than that of the second atomizing assembly. After the first atomizing assembly is connected with the air inlet channel in fluid communication through the gating structure, the second atomizing assembly can generate a second aerosol with a small atomizing amount at a time. The second aerosol is a smokeless aerosol, has very low visibility or is almost invisible, and can avoid affecting others in public places as much as possible.

The application discloses a kind of double-channel rolling bearing fault diagnosis methods of image time sequence fusion, belong to rotating machinery intelligent fault diagnosis technical field.It includes: collecting rolling bearing vibration signal, constructs fixed length one-dimensional time sequence sample by segmented pretreatment, and generates corresponding image by gram angle difference field transformation;Then respectively establish image channel and time sequence channel, image channel extracts overall spatial feature and local detail feature, time sequence channel uses LSTM to extract time sequence dependent feature, and sets fusion node in multilevel;Further, the corresponding level features of two channels are complementarily fused based on joint context channel-by-channel gating, obtain joint fault feature layer by layer, finally input classification module to complete fault identification.The application solves the problem of insufficient single feature expression and insufficient cross-modal information fusion in rolling bearing fault diagnosis, and improves the diagnosis accuracy and robustness.

The utility model relates to a resource board card and a test machine, and the resource board card comprises a main board card which is connected with a communication board card, receives a plurality of clock signals with different frequencies outputted by the communication board card, and transmits the clock signals to a sub-board card; the at least one sub board card comprises a multi-channel gating device and a control module, the multi-channel gating device is connected with the main board card and the control module, and the received clock signals with different frequencies are gated and transmitted to the control module; the clock signal is used for the control module to test the device to be tested. A plurality of clock signals with different frequencies are transmitted to the daughter board card through the main board card, the clock signals with the corresponding frequencies can be selected in the daughter board card through the multi-channel gating device according to test requirements, the control module uses the selected clock signals to test the device to be tested, clock signals do not need to be generated one by one for serial test, and the test efficiency is improved.

The invention discloses a cryoablation needle target area frosting state identification method based on image processing, and relates to the technical field of cryoablation needles. Constructing a target area original image sequence under the unified space-time coordinate system; outputting corresponding degradation stage information; obtaining a high-fidelity target region clear image sequence; aggregating the signal subspace features through a channel gating mechanism to obtain a signal enhancement feature image set; generating a target area multi-scale semantic feature tensor; outputting an initial frosting probability distribution diagram of the target area; performing form constraint segmentation optimization to obtain a frosted area mask with a consistent form; and a time sequence stable frosting area mask sequence is obtained, a frosting state dynamic evolution model is constructed, and early warning information is displayed in real time. According to the method, the problem of feature submerging caused by mixed noise is effectively inhibited, and the recognizable degree and stability of bottom layer structure information of a target area are remarkably improved in a low-temperature imaging environment.

A method for detecting pedestrians by improving RT-DETR, comprising the following steps: step 1: selecting a public pedestrian detection dataset Widerperson, then cleaning and retaining suitable parts; step 2: image enhancement and preprocessing are performed on the image data, and the training set, the validation set and the test set are divided according to the preset proportion; step 3: an enhanced real-time target detection model iRT-DETR is constructed, the model comprising a stripe convolution channel gating module (SCCG) in a backbone network, an adaptive scale decomposition attention module (ASDA) in an encoder, and a bidirectional multi-assistant feature pyramid network (BiMA-FPN); step 4: the training set obtained in step 2 is input into the model constructed in step 3 for training, and the final training convergent detection model is obtained through loss calculation, back propagation and hyperparameter adjustment; step 5: the trained model is used to detect input pedestrian images, and the class and boundary box position of the pedestrian target are output.

The invention discloses an ultra-wideband hybrid array calibration system and calibration method, and belongs to the field of phased-array antennae. A gating switch is added between a receiving component and a down-conversion to control the on-off of a radio frequency receiving channel; by controlling the on-off of the gating switch of each row, firstly, the amplitude and phase values of each path are simultaneously collected according to the row, then, the amplitude and phase values of channels in different columns and different rows are collected, finally, the amplitude and phase difference values of all channels and the first row and the first column are obtained through conversion, and a phase shifter or a time delayer in the receiving assembly is used for carrying out analog receiving channel calibration. After analog receiving channel calibration is completed, all channel gating switches are turned on, amplitude and phase values of N columns are collected, and intermediate frequency and digital channel calibration is completed according to the collection result. According to the invention, the contradiction between synchronous acquisition and independent measurement of multiple analog channels in the digital-analog hybrid array is solved, the amplitude-phase calibration of the analog channels and the digital channels is completed respectively, and the stable performance of the array is ensured.

The application relates to an artificial intelligence-based low-altitude remote sensing anomaly identification method, and belongs to the technical field of digital image processing and geographic information remote sensing monitoring. The method constructs a dynamic and content-aware feature learning and decision-making framework. First, parallel branches with different expansion rates are used to comprehensively capture diversified receptive field features from local details to global context, then channel compression and excitation and channel dimension pooling operations are respectively performed on the features, a lightweight 'channel-space dual-channel gating mechanism' is realized, appropriate weights are adaptively allocated to feature maps of different branches and different positions, and geographic scene prior knowledge is fused to exert spatial attention at the feature level, further suppress the response of background regions irrelevant to anomalies, and make the model focus on the real suspicious areas. Finally, the detection capability for multi-scale anomalies, especially small-scale and weak-contrast anomalies, can be significantly improved, so that the low-altitude remote sensing anomaly identification accuracy is improved.

The utility model discloses communication equipment capable of gating channels. The communication equipment comprises one or more UART receiving ports, one or more UART sending ports and a port gating module, the port gating module comprises input ends and output ends, the number of the input ends of the port gating module is the same as that of the UART receiving ports, and the number of the output ends of the port gating module is the same as that of the UART sending ports; the UART receiving ports are connected with the input ends of the port gating modules in a one-to-one correspondence manner, and the UART sending port modules are connected with the output ends of the port gating modules in a one-to-one correspondence manner; and the port gating module is used for communicating the one or more target input ends with the one or more target output ends in response to the channel gating instruction. Configurable gating, switching and expansion among multiple channels are achieved, and flexible and complex bus data transmission requirements are met.

This utility model discloses a BMS communication link detection device, comprising: an MCU, a CAN transceiver module, an RS485 transceiver module, a CAN communication channel selection module, an RS485 communication channel selection module, a status indicator module, a power output detection module, and a power on / off module. The MCU includes at least two serial ports; the first serial port establishes a one-to-many communication connection with multiple CAN communication interfaces of the BMS through the CAN transceiver module and the CAN communication channel selection module; the second serial port establishes a one-to-many communication connection with multiple RS485 communication interfaces of the BMS through the RS485 transceiver module and the RS485 communication channel selection module. Using this communication link detection device, the connectivity of each communication node module of the BMS system can be quickly and comprehensively detected during batch testing of BMS finished products, thereby saving costs and improving production efficiency.

This application provides a highly flexible, secure, and redundant PHY architecture and communication node for TTP networks. The architecture sets up two internal isolated transceiver branches within the same external TTP differential bus port: the first and second communication channels of the TTP protocol controller are respectively connected to a digital isolator and a differential transceiver to form two differential signal pairs, and then a channel selection switch selects only one of them to connect to the external bus port; the termination matching branch and transient protection circuit are located on the common side of the channel selection switch or on the external port side, allowing the two internal channels to share the same termination matching network and protection network. Hardware transmit enable logic generates a differential transceiver transmit enable signal based on reset, watchdog timer, power-on, host transmit enable, TTP transmit enable, and channel selection status, preventing transmission from the unselected channel or the channel in a fault state. This application achieves channel-level redundancy without adding external interfaces and cables.

The application discloses a double-flow fault diagnosis method based on state space modeling and dynamic edge context perception, which constructs a time domain state flow and a time-frequency edge flow, and the specific implementation process is as follows: the time domain state flow is modeled in a Transform framework to form a MambaT encoder for efficiently capturing long and short term dependencies with linear complexity and accurately representing time domain sensitive features; the time-frequency edge flow transforms vibration data into a two-dimensional time-frequency image through wavelet transform, designs a differentiable edge sensitive mask to adaptively separate impact features and background noise of the time-frequency image, simultaneously designs a boundary content perception adaptive padding to maintain the topological integrity of the image boundary, and cooperatively constitutes a dynamic edge context perception convolution to effectively extract time-frequency edge features; a channel enhancement and channel gating module is designed to establish a dynamic channel interaction gating mechanism, realize time domain-time frequency domain double-flow cascaded representation, and significantly improve fault discrimination ability. Experiments prove that the method has higher fault diagnosis performance.

The application relates to the fields of computer vision and intelligent traffic technology, and discloses a multi-scale target detection method based on an environment perception and a channel gating mechanism, which comprises the following steps: using a backbone network and an aggregation factor technology to output a multi-scale feature map corresponding to an enhanced traffic sign image and an aging state of the traffic sign; performing fusion processing on the multi-scale features to generate a feature pyramid, and inputting the feature pyramid into a detection model to obtain a traffic sign prediction frame and traffic sign category information; judging the accuracy of the traffic sign prediction frame and the traffic sign category information, correcting the detection model based on the accuracy result, and performing export tamper-proof processing on the detection model after the correction is completed, so that the detection of the traffic sign in a high-speed scene is realized by using the monitoring model and the aging state of the traffic sign to output results. The channel gating mechanism is introduced to realize adaptive fusion of deep and shallow features, so that the small target detection performance is significantly improved.

The invention belongs to the technical field of Internet of Vehicles and communication security, and relates to a vehicle-mounted CAN intrusion detection method based on protocol spatial features and a multi-scale Bi-Mama model, which comprises the following steps of: constructing a group of multi-dimensional protocol spatial features for each CAN message, transposing an input sample into a shape, and carrying out one-dimensional convolution on three one-dimensional convolution kernels with different convolution kernel sizes, so as to obtain a set of multi-dimensional protocol spatial features and a set of multi-scale Bi-Mama model; averaging and fusing the three paths of output to obtain a multi-scale local feature, and then transposing the multi-scale local feature into a shape required by Mama; after bidirectional Mama stack layer processing, adaptive reweighting is carried out on the time sequence features through a channel gating mechanism, and features after gating reweighting are obtained; and finally, performing normalization, Dropout operation, global average pooling and MLP classification in sequence. The method effectively solves the problem that an existing method lacks unified modeling for CAN protocol semantics, time behaviors and Payload statistics, and the technical problems that multiple types of attacks are difficult to distinguish, the overall detection precision is not high, the model complexity is large, and the real-time performance and deployment capacity are insufficient.

The invention discloses a one-dimensional wavelet and time-channel perception Mama speech enhancement method and system, and relates to the technical field of speech enhancement, and the method comprises the steps: inputting an original noisy speech, and carrying out the preprocessing of the original noisy speech, and obtaining a one-dimensional signal; inputting the one-dimensional signal into multi-layer one-dimensional convolution, and extracting local time domain features; wavelet transform is applied to the local time domain features along the time dimension, and specific processing is carried out on generated sub-bands; carrying out splicing and wavelet reconstruction on the sub-bands to generate full-resolution features; modeling the full-resolution features by using Mamba to obtain a channel gating vector and long-range dependence, and performing feature fusion processing by combining the full-resolution features to obtain fused features; mapping the fusion feature into a time domain gain mask, and performing time domain reconstruction in combination with the original noisy voice to obtain an enhanced signal; a multi-target joint optimization strategy is constructed for the enhanced signal, and training is carried out based on the minimum total loss; and inputting the original noisy speech into the trained model, and finally realizing efficient speech enhancement.

The CT image segmentation method and the electronic device are disclosed. The CT image and the structured meta information corresponding to the CT image are acquired, the CT image is subjected to feature extraction to obtain CT image features of multiple levels, the structured meta information is subjected to feature coding to obtain text features, the text features are subjected to linear transformation to obtain channel gating weights, the CT image features are subjected to channel weighting processing based on the channel gating weights to obtain channel weighted features, the channel weighted features are subjected to feature enhancement to obtain CT image enhanced features, the CT image enhanced features are subjected to decoding to obtain guide features, the guide features and the CT image features of the corresponding level are subjected to feature transformation in the spatial dimension and the channel dimension to obtain joint gating weights, the CT image features are subjected to residual fusion processing based on the joint gating weights to obtain gating output features, and the CT image segmentation is performed based on the gating output features to obtain a CT image segmentation result, thereby improving the segmentation accuracy of the CT image.

The invention provides a serial port debugging method and system, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: in response to a debugging request sent by a control end, determining target to-be-debugged equipment corresponding to the debugging request and an access permission; the control channel gating unit establishes a debugging channel between a target serial port corresponding to the target to-be-debugged equipment and the control end; determining a data interaction mode between the control end and the target to-be-debugged equipment based on the access permission; the data interaction mode is used for controlling the mode that the control end debugs the to-be-debugged equipment through the debugging channel. According to the scheme, flexible configuration of multi-device debugging channels can be achieved through the channel gating unit, safe data interaction control is achieved based on the access authority, and then the data safety and flexibility in the serial port debugging process are improved.

The application provides a multi-path passive receiving system and a signal receiving method, and relates to the technical field of passive receiving.The multi-path passive receiving system comprises a receiver, a switch matrix and an array surface, the switch matrix comprises a plurality of switches, and the plurality of switches form at least one level of switch matrix; the input end of the first level switch in the switch matrix is connected with the output end of the receiving channel of the array surface, the output end of the last level switch in the switch matrix is connected to the processing channel of the receiver, and part of the receiving channels of each array surface are selected to the processing channel of the receiver; and the sum of the number of the receiving channels of the array surface is greater than the number of the processing channels of the receiver.The application changes the output of the receiving channel to the receiving channel of the receiver by the on-off of the switch in the switch matrix, realizes that the number of the processing channels is less than the number of the receiving channels contained in all the array surfaces, and further reduces the number of the receiver and the cost.

The invention discloses a medical image classification method and system of a structure perception state space model, and relates to the field of artificial intelligence and medical image analysis. The system comprises an input adaptation module used for uniformly processing medical images of different modalities; the multi-scale feature fusion module is used for extracting and fusing multi-scale lesion features through multi-expansion rate convolution support; the structure perception state space modeling module is used for introducing edge perception convolution into a state space model to modulate state updating and enhance the modeling capability for anatomical structures and boundaries; the dynamic channel gating module is used for adaptively enhancing a key semantic channel through a gating mechanism and outputting semantic enhancement features; and the classification output module is used for outputting a final disease classification result. According to the method, the problems of poor cross-task migration performance, weak modal compatibility and insufficient structural modeling capability in the prior art are solved, and excellent performance is achieved on various medical image classification tasks such as chest X-rays and dermatoscopes.

This invention discloses a method for detecting small infrared targets on unmanned aerial vehicles (UAVs) based on PGF-RTDETR. First, a UAV infrared image dataset is prepared and preprocessed. Then, an improved UAV infrared small target detection model, PGF-RTDETR, is constructed. This model consists of a lightweight backbone network, a multi-scale sensing neck network, and a decoder. The neck network integrates polarization channel gating units and an adaptive convolutional enhancement module. The preprocessed dataset is input into the PGF-RTDETR model for training, resulting in a best-weighted file. Next, based on the trained weights, the UAV infrared image to be detected is input into the model, which parses and generates the target category and bounding box coordinates. Finally, the detection results are output, and the model performance is evaluated. This invention solves the problems of weak feature extraction capability, large background interference, and high computational cost in existing methods for infrared small target detection, making real-time deployment difficult.

The application relates to the field of signal collection and aims to solve the problem that traditional schemes are difficult to realize non-packet-loss, low-delay real-time uploading and monitoring of high sampling rate and super multi-channel signals under a low-cost interface, and proposes a multi-channel high-speed signal collection system and method based on an FPGA dynamic channel gating algorithm; the data collection system is composed of function modules such as signal conditioning, signal collection, FPGA main control, gigabit network transmission and data collection display host computer software, and specifically comprises an analog-digital conversion module, a channel gating module, a core control module, a logic processing module, a data transmission interface management module and upper monitoring software; in the FPGA, channel data which are concerned or interested by a user are pretreated and buffered through an algorithm; meanwhile, the user sends an instruction to the FPGA through the upper computer software, switches the sampling channel and switches the required data processing algorithm, and the software-defined dynamic channel gating function is realized.

The embodiment of the invention provides a scanning test device and method and a chip, and the device comprises a first switching network configuration array which is used for generating a first configuration signal; the first switching network is used for configuring test channel gating of the first switching network based on the first configuration signal; the second switching network configuration array is used for generating a second configuration signal; the second switching network is used for configuring test channel gating of the second switching network based on the second configuration signal; wherein the second switching network configuration array generates a second configuration signal by taking the output of the first switching network as the input. According to the embodiment of the invention, the input of the second switching network configuration array is not limited by a fixed physical interface and can be flexibly selected according to actual conditions, so that the fault-tolerant capability of a scanning test on physical layer defects (such as packaging process limitation) is enhanced, and the correctness of a configuration signal required by the scanning test switching network is ensured.

The application discloses a wireless audio transmission processing method and device, a storage medium and an electronic equipment, and relates to the technical field of Internet of Things. The method comprises the following steps: acquiring an audio code stream from a local area network by an audio receiving end and transmitting the audio code stream to a decoding layered end; decoding the audio code stream by the decoding layered end to obtain audio source information, transmitting the audio source information to a user interaction end, and transmitting the audio code stream to a channel gating end; receiving selected source information sent by the user interaction end by the channel gating end, and transmitting the audio code stream to an audio stream decoding end when the selected source information matches the audio code stream, wherein the selected source information is matched by the user interaction end according to the audio source information; and decoding the audio code stream by the audio stream decoding end to obtain a sound channel audio code stream, wherein the sound channel audio code stream is used for playing. The application can better realize the expansibility, openness and flexible applicability of a wireless audio system.