13 results about "Bandwidth compression" patented technology

The invention belongs to the technical field of wireless communication, and particularly relates to a communication sensing integrated system based on non-orthogonal AFDM (Alternating Frequency Division Multiplexing). According to the system, a bandwidth compression factor is introduced into an AFDM framework to construct a non-orthogonal waveform, and controllable overlapping between chirp subcarriers is realized, so that the spectrum utilization rate is improved, and the robustness of the system under a high-speed dynamic channel is enhanced. And a receiving end realizes reliable information recovery through maximum likelihood detection, and processes echo signals in combination with a two-dimensional parameter estimation algorithm so as to realize high-precision sensing of the target distance and speed. The system has good anti-Doppler capability and perception precision performance, and is suitable for communication perception fusion application in a high-speed mobile scene.

The present application relates to the field of sound system self-checking and assembly defect diagnosis, aiming to realize the automatic identification and tracing of speaker assembly defects. The core technology includes collecting the acoustic feedback of the speaker after frequency sweep excitation through the microphone, obtaining high-quality time-domain signals, and using signal energy window judgment and segmented windowed Fourier transform to extract frequency domain features. Based on the six-dimensional interpretable feature vector, a solidified weight full connection encoder is used to generate a squeak fingerprint code, realizing defect mode activation intensity analysis. Combined with the fault knowledge base, a multi-modal evidence package containing spectral highlights and natural language diagnostic conclusions can be output, and low-bandwidth compression and Bluetooth BLE protocol are supported for tracing the production line quality. This scheme improves the defect identification accuracy and diagnostic interpretability, facilitating production line automation and product quality tracing.

The invention discloses an acoustic Doppler received signal processing method and device. The method comprises the following steps: executing first-stage simulation coarse tuning filtering processing on a received underwater acoustic signal through a low-noise tunable amplification circuit; bandwidth compression filtering processing is performed on the signal subjected to the first-stage analog coarse tuning filtering processing through a fully differential amplification circuit; performing second-stage simulation fine tuning filtering processing on the signal subjected to bandwidth compression filtering processing through a programmable band-pass filter; converting the analog signal subjected to the second-stage analog fine tuning filtering processing into a digital signal through a fully differential analog-to-digital conversion circuit; and in the digital domain, third-stage digital fine locking filtering processing is carried out on the digital signal through the FPGA processing circuit. According to the scheme of the invention, a signal processing architecture with deep fusion of analog and digital domains, step-by-step focusing and adaptive tracking is constructed, and the efficiency and performance of capturing and accurately analyzing weak Doppler signals in a complex underwater acoustic environment are remarkably improved.

This application discloses an acoustic Doppler receiving signal processing method and apparatus. The method includes: performing a first-stage analog coarse-tuning filtering on the received underwater acoustic signal using a low-noise tunable amplifier circuit; performing bandwidth compression filtering on the signal after the first-stage analog coarse-tuning filtering using a fully differential amplifier circuit; performing a second-stage analog fine-tuning filtering on the signal after the bandwidth compression filtering using a programmable bandpass filter; converting the analog signal after the second-stage analog fine-tuning filtering into a digital signal using a fully differential analog-to-digital converter circuit; and performing a third-stage digital fine-locking filtering on the digital signal in the digital domain using an FPGA processing circuit. Using the scheme of this application, a signal processing architecture with deep integration of analog and digital domains, step-by-step focusing, and adaptive tracking is constructed, significantly improving the efficiency and performance of capturing and accurately analyzing weak Doppler signals in complex underwater acoustic environments.

The invention discloses a machine learning-oriented semantic communication with a scalable compression ratio, which mainly considers an actual semantic communication technology oriented to a machine learning task and solves the influence of channel quality and bandwidth on semantic transmission quality of a communication system. The method comprises the following steps: firstly, preprocessing an image source, and extracting semantic features by using a residual convolutional neural network; secondly, adjusting and learning semantic features according to a channel signal-to-noise ratio through an attention mechanism, and performing length adjustment on the semantic features by using a binary mask vector according to a given compression ratio; then, the optimal bandwidth compression ratio of the communication system is predicted through the prediction network. And finally, the receiving end inputs the compressed semantic features into networks such as a full-connection classifier to execute specific tasks. Comparison experiments prove that the performance of the method provided by the invention is improved, and compared with a fixed bandwidth, the bandwidth compression ratio can be adaptively adjusted according to the real-time change of the signal-to-noise ratio of the channel and the bandwidth of the channel, so that the performance and efficiency of a semantic communication system are effectively improved.

Aspects presented herein relate to methods and devices for data processing including an apparatus, e.g., a CPU. The apparatus may obtain an indication of a set of data subunits corresponding to at least one data unit. The apparatus may also arrange data for the set of data subunits into a first data order for the set of data subunits. Further, the apparatus may perform at least one of an encoding process or a decoding process on the data for each data subunit of the set of data subunits. The apparatus may also rearrange the data for the set of data subunits into the first data order for a first data subunit in the set of data subunits and into a second data order for at least one second data subunit in the set of data subunits, where the first data order is different from the second data order.

The application relates to a bus network multi-priority flow admission control and dynamic planning method, and belongs to the technical field of wired communication network resource dynamic scheduling and planning. The method comprises the following steps: solving a first scheduling scheme of TT flows satisfying the condition that the end-to-end worst-case time delays of all RC flows are not more than the corresponding end-to-end time delay deadlines based on the to-be-admitted TT flows and performing; if the solving fails, solving a second scheduling scheme of TT flows in which the number of RC flows with end-to-end worst-case time delays exceeding the corresponding end-to-end time delay deadlines is as small as possible; if the solving fails, the TT flow admission is not passed; and if the solving succeeds, solving a compression scheme of part of the RC flows based on the second scheduling scheme, and reducing the transmission quality by using the bandwidth compression of part of the RC flows to exchange for the communication continuity of all the RC flows. The method minimizes the influence of the newly-admitted TT flows on the RC flows, increases the admission probability of the TT flows, and solves the problem that the newly-admitted TT flows affect the end-to-end delay of the RC flows and cause the end-to-end timeout of the RC flows.

A video decoder with in-loop memory bandwidth compression is provided. A video decoder includes a decoding logic configured to decode an encoded bitstream to generate a reference block of video data, and a memory bandwidth compression logic configured to compress the reference block of video data based on a selection between a first compression algorithm, second compression algorithm, or to copy the reference block without compression. Selection is based on at least one of the first block size, second block size, or uncompressed block size. The selected block is written to an off-chip memory, and a compression algorithm indicator associated with the selected block is written to an on-chip memory.

The embodiment of the invention discloses an equipment detection method based on narrowband communication. The method comprises the following steps: determining to-be-detected power grid equipment without public network coverage in a target area; acquiring an operation state image or video stream of the power grid equipment; performing semantic compression coding on the running state image or video stream of the power grid equipment to generate low-bandwidth compressed data; transmitting the low-bandwidth compressed data to a remote monitoring center by a satellite link through narrow-band satellite communication equipment; the remote monitoring center is used for decoding the received low-bandwidth compressed data and reconstructing a monitoring image of the power grid equipment; and detecting the operation state of the power grid equipment based on the reconstructed monitoring image. According to the method, massive images and video data are converted into semantic information with an extremely low code rate through semantic compression coding, and the problem that a narrow-band satellite channel cannot transmit traditional videos is solved.

The present application relates to a kind of stepped inverted ridge structure short axial length dual-polarized compact range feed antenna, wherein inverted ridge fin part adopts stepped fin, cooperate with small angle of aperture conical waveguide structure can effectively expand working bandwidth, compress horn axial length, reduce voltage standing wave ratio;Feed probe adopts four standard coaxial connector connected coaxial cable;Feed uses horn design with axial slot, can realize beam with wideband equalization, stable phase center and low cross polarization, after optimization, feed full-band realizes voltage standing wave ratio less than 1.5.The four-ridge horn feed has the outstanding advantages of simple structure, small size, light weight and low cost.

The invention relates to the technical field of satellite communication, in particular to a satellite communication digital signal self-adaptive amplification method and system based on link perception. The method comprises the following steps: collecting and analyzing signal-to-noise ratio data fed back by a target terminal and power detection data of a local transmitter, and executing power boundary joint judgment to form a limit saturation status word; analyzing a link quality loss value by using the extreme saturation state word; performing energy spectrum density compensation conversion on the link quality loss value to obtain a bandwidth compression coefficient; performing equal-energy bandwidth compression calculation according to the bandwidth compression coefficient to obtain a rate reduction configuration parameter; and calculating an energy loss decibel value according to the drop rate configuration parameter, and determining a gain compensation coefficient. According to the method, digital-analog cooperative control is implemented under the physical saturation limit of the power amplifier, and the signal power spectral density is improved on the premise that the total transmitting power is constant, so that the hardware transmission limit is broken through in an extremely severe channel to maintain a communication link.

The application relates to the technical field of audio transmission, and discloses a USB multi-channel audio adaptive transmission method and system based on content perception, wherein the method comprises the following steps: performing frame division and fast Fourier transform on first audio data stream to obtain a multi-channel content feature matrix; calculating a content complexity score and a bandwidth compression ratio according to the multi-channel content feature matrix, and generating a first channel transmission parameter configuration table according to the content complexity score and the bandwidth compression ratio; reconstructing an audio stream format descriptor and a synchronization endpoint descriptor according to the first channel transmission parameter configuration table to obtain a USB transmission configuration snapshot; and packing the first audio data stream into a USB audio data packet, and transmitting the USB audio data packet to a Dolby decoder through a synchronization endpoint corresponding to the USB transmission configuration snapshot, so that the overall quality and stability of multi-channel audio transmission under the condition of limited USB bandwidth are improved.

This invention relates to the field of satellite communication technology, and more particularly to a link-aware adaptive amplification method and system for satellite communication digital signals. The method includes the following steps: acquiring and analyzing the signal-to-noise ratio data fed back by the target terminal and the power detection data of the local transmitter, and performing a joint power boundary determination to form a limit saturation state word; analyzing the link quality deficit value using the limit saturation state word; performing energy spectral density compensation conversion on the link quality deficit value to obtain a bandwidth compression coefficient; performing equal-energy bandwidth compression calculation based on the bandwidth compression coefficient to obtain a rate reduction configuration parameter; calculating the energy loss in decibels based on the rate reduction configuration parameter to determine the gain compensation coefficient. This invention, by implementing digital-analog collaborative control under the physical saturation limit of the power amplifier, achieves an increase in signal power spectral density while maintaining a constant total transmit power, thereby breaking through the hardware transmission limit in extremely harsh channels to maintain the communication link.