40results about How to "Reduce bandwidth requirements" patented technology

The invention discloses a centralized phased array beam control method and system based on an FPGA, and relates to the technical field of phased array beam control, and the method comprises the steps: carrying out the real-time iterative operation through an incremental adaptive correction kernel in a centralized control FPGA, and obtaining an amplitude-phase correction increment and a corresponding target effective frame number; performing increment differential coding on the amplitude-phase correction increment and the corresponding target effective frame number in a centralized control FPGA (Field Programmable Gate Array) to generate an increment differential beam control message; sending the increment difference beam control message to an array element FPGA (Field Programmable Gate Array) at the front end of an array, executing frame-level atom switching according to a target effective frame number, and fusing the amplitude-phase correction increment and a locally stored old beam control weight in the switching process to obtain a final array element beam control weight; generating a real-time beam control directional diagram based on the final array element beam control weight; the stability and convergence precision of beam control are improved, and the bandwidth requirement of a control link is reduced.

The invention provides a memristor neural network cloud edge collaboration method and a memristor neural network cloud edge collaboration system based on multi-mode sensing. The method belongs to the field of artificial intelligence multi-modal data processing. The method mainly comprises the following steps: distributing multi-modal data subjected to synchronous acquisition and time-space alignment to an FPGA (Field Programmable Gate Array) and a memristor array for parallel processing; splicing the processed multi-modal data in a channel dimension to generate a multi-channel fusion feature tensor; a memristor array is used for carrying out storage and calculation integrated calculation on the multi-channel fusion feature tensor, and an advanced feature map is output; receiving a differential update packet issued by the cloud, and selectively updating the weight in the memristor array according to the update packet; and carrying out in-situ fine tuning on partial weights in the memristor array based on locally acquired data. According to the method and the constructed system, the memristor array can be effectively compensated, the calculation precision is improved, and rapid self-adaption of a local scene and continuous and efficient iteration of global knowledge are achieved.

The invention discloses a multi-energy complementary power distribution control method, belongs to the technical field of electric power system control, and aims to solve the problems that an existing multi-energy system control method based on periodic instruction issuing is heavy in communication burden, response lags when sudden disturbance is dealt with in two scheduling intervals, and the power distribution efficiency is poor. And the operation economy and the dynamic stability are difficult to consider at the same time. The method comprises the steps that an upper-layer optimization controller generates virtual impedance potential field function parameters and key topological characteristics and issues the virtual impedance potential field function parameters and the key topological characteristics to a local controller; the local controller executes power control based on the potential field gradient and monitors the topological position of the operation point; when a topology crossing event is detected, an asynchronous event triggering signal is sent upwards, and an upper-layer controller is triggered to carry out aperiodic re-planning. According to the method, decoupling of economic optimization and dynamic control is realized, the robustness and the adaptive capacity of the system under disturbance are improved, meanwhile, the communication burden is reduced, and the method is suitable for a system containing a large amount of distributed energy.

The embodiment of the invention provides an animation digital person generation method and electronic equipment, and the method comprises the steps: obtaining a preset text, and converting the preset text into an audio data stream corresponding to an animation digital person; based on the audio data stream, generating an action data stream corresponding to the animation digital person; packaging the audio data stream and the action data stream into a data packet; the action data stream is used for indicating at least one of the facial emotion and the limb action of the animation digital person; and transmitting the data packet to the second electronic equipment, so that the second electronic equipment generates an animation digital person based on the personalized configuration, the digital person model and the data packet. According to the embodiment of the invention, the audio data stream and the action data stream of the digital person are generated through the electronic equipment, and the animation digital person is generated by the other electronic equipment based on the audio data stream, the action data stream, the digital person model and the personalized configuration, so that a user can perform custom configuration on the digital person.

A data quantization method and device, a computer readable storage medium and a chip, the data quantization method comprising: obtaining a data block to be quantized, dividing the data block to be quantized into one or more data groups to be quantized according to a preset grouping method; performing quantization calculation on each data group to be quantized according to a target quantization format, to obtain quantization data corresponding to data in each data group to be quantized and quantization metadata corresponding to each data group to be quantized, wherein the quantization metadata is used for dequantization of the quantization data; and storing the quantization metadata corresponding to the data block to be quantized and the quantization data as a continuous data structure.

The application provides a lightweight variable bit rate multi-view image compression method and system, and relates to the technical field of image compression. The method comprises: downsampling, feature extraction and feature scaling of a single-view image to obtain a latent representation corresponding to a target bit rate; quantization and lossless entropy coding of the latent representation to obtain a final compressed bit stream; subsequent lossless entropy decoding and inverse scaling to restore the latent representation; feature fusion and upsampling of the restored latent representations of different views to generate a reconstructed compressed image. The model comprises a main encoder, a feature scaling module, a quantization module, an autoregressive entropy model, an arithmetic encoder, an arithmetic decoder, a feature inverse scaling module and a decoder. The application can efficiently compress image data, reduce computational complexity and storage space occupation while preserving image details and quality, thereby providing faster speed and lower bandwidth requirement for image transmission and storage.

The application discloses a kind of adaptive optics real-time controller hardware architecture based on multi-core CPU and GPU.Shack-Hartmann wavefront sensor sub-aperture slope calculation, wavefront recovery and wavefront control are completed in parallel by multi-core CPU and GPU using the real-time controller hardware architecture.The application uses general multi-core CPU and GPU as computing platform, after receiving image data in multi-core CPU, part of sub-aperture image data is transmitted to GPU by PCIE bus using a CPU core, and wavefront calculation task of the part of sub-aperture is completed by GPU;At the same time, the remaining CPU core is used to complete the remaining sub-aperture wavefront calculation task in parallel, to reduce the purpose of real-time controller calculation delay.The application uses multi-core CPU and GPU in parallel to complete wavefront calculation task, to reduce the effect of adaptive optics real-time controller calculation delay, to meet the real-time requirement of adaptive optics system to real-time controller, especially suitable for next-generation large-aperture ground-based telescope adaptive optics system real-time control.

The utility model discloses a synchronous acquisition optical fiber hydrophone buoy system, and belongs to the technical field of underwater monitoring. Comprising a comprehensive control module, a Beidou trigger module, a hydrophone data acquisition module and an optical fiber hydrophone array, the comprehensive control module is used for executing a command of the upper computer display control system and returning demodulated signal data; the Beidou trigger module is used for receiving a time signal and carrying out time service; the hydrophone data acquisition module is used for acquiring sound wave signals received by a hydrophone; the optical fiber hydrophone array is used for arranging and combining a plurality of optical fiber hydrophones into an array; the optical fiber hydrophone array is connected with the bottom of the buoy through a transmission cable; the Beidou trigger module sends a synchronous trigger signal to the hydrophone data acquisition module, and sends signal data in a time-sharing manner according to the synchronous trigger signal. The underwater sound signal can be synchronously triggered and collected under the cooperative work of a plurality of buoys.

This invention discloses a distributed intelligent decision-making and collaborative control system for unmanned aerial vehicle (UAV) swarms, relating to the field of UAV technology. The invention includes a data acquisition module, a situational awareness construction module, a distributed strategy negotiation module, a motion planning module, and a consistency control module. UAVs interact with neighboring nodes only to exchange decision parameters, reducing communication load and bandwidth requirements, avoiding the risk of single-node failure, and improving the robustness and operational reliability of the swarm system in complex maritime communication environments. It filters environmental information strongly correlated with its own motion, suppresses noise interference, and provides complete and reliable situational awareness data for swarm decision-making, improving the accuracy and anti-interference capability of maritime environmental situational awareness. Control parameters are adapted in real-time based on flight speed, attitude changes, and remaining battery power, balancing high-speed response accuracy and low-speed control stability, reducing low-power energy consumption, and enhancing the stability, endurance, and adaptability of swarm collaborative control to maritime operations.

The present application discloses a video downloading method, device, medium and equipment, and relates to the field of video technology. The method includes: in response to a user initiating an operation for downloading a video, sending a verification request to a server so that the server verifies the user and the video respectively; receiving verification pass information from the server and generating a download setting interface; in response to a save operation, obtaining download content information set by the user in the download setting interface; based on the download content information, sending a download instruction to the server so that the server stores a target video segment in the video based on the download instruction, wherein the download instruction carries one or more key time points, and the key time points are determined when the video is marked in advance. The present application optimizes the storage and use of key video content by marking key time points in the video in advance and selectively downloading the target video segment using the key time points, enriching the download function and improving the user experience.

The utility model relates to the technical field of brain imaging, in particular to a frequency-domain near-infrared spectrum measurement module and frequency-domain near-infrared spectroscopy device.The frequency-domain near-infrared spectrum measurement module comprises a detection unit and a processing unit, the detection unit is used for making direct contact with the head of a user, emitting detection light to detected tissue and receiving detection signals formed after being reflected by the detected tissue, and the processing unit is used for processing the detection signals; amplitude data and phase data of the detection signal are extracted, and the amplitude data and the phase data are sent to the processing unit after analog-to-digital conversion; and the processing unit is used for calculating optical parameters of the detected tissue based on the converted amplitude data and phase data, and wirelessly transmitting the optical parameters to the target main control unit. Amplitude and phase detection functions are completed by the front-end measurement module in advance, the use of a high-speed ADC and a mixer is avoided, the system complexity is reduced, signal transmission between the measurement module and the main control unit depends on wireless communication, excessive cable connection is not needed, and the brain activity monitoring system is suitable for brain activity monitoring requirements in a dynamic scene.

The invention discloses an asynchronous normal form-based simulation, storage and calculation integrated array control device, which comprises an asynchronous loopback handshake module for generating an asynchronous clock according to an operation result of a simulation, storage and calculation integrated array, a pre-stage circuit instruction and a state signal of a finite-state machine control module, handshake communication between the asynchronous loopback handshake module and the digital-to-analog converter is controlled through the asynchronous clock; and the finite-state machine control module is used for generating a gating signal according to the number of handshake communication times and sending the gating signal and an asynchronous clock to the gating module, and the gating module controls the analog storage and calculation integrated array through the gating signal and the asynchronous clock. According to the asynchronous normal form-based control device for the analog storage and calculation integrated array, the accurate transmission of data in a system unit is ensured, the data processing intensity and operation efficiency are improved, the circuit design and time delay are optimized, the charge loss is reduced, and the energy efficiency ratio of the whole architecture is improved.

The application provides a low-orbit constellation satellite network traffic offloading method based on an auction theory, and steps are as follows: judging whether a subsidence satellite is a light-load subsidence satellite, a heavy-load subsidence satellite or a common subsidence satellite; all light-load subsidence satellites and heavy-load subsidence satellites send request packets containing detection information to each other, and transmission time delays between the subsidence satellites are obtained; the heavy-load subsidence satellite informs a ground station of the satellite state through a feeder link with a demand bandwidth, and the light-load subsidence satellite informs the ground station of the satellite state through the feeder link with a competitive bandwidth; the ground station puts the subsidence satellites into a buyer queue or a seller queue according to the collected satellite states, and obtains a matching result between the light-load subsidence satellites and the heavy-load subsidence satellites through a bidirectional auction; and the ground station informs all the subsidence satellites of the matching result through the feeder link, and the traffic offloading is transferred. The application maximizes the bandwidth of the satellite-ground link, and improves the overall throughput of the air-ground network.

The invention relates to the technical field of audio processing, in particular to an audio transmission system and method, a related device and a vehicle, and the system comprises a first device, a second device and a power amplifier device; wherein the first equipment and the power amplifier equipment are connected to form a first transmission link, and the first transmission link is used for at least transmitting multimedia information; the second equipment and the power amplifier equipment are connected to form a second transmission link for at least transmitting the multimedia information; and the first equipment and the second equipment are connected to form a third transmission link for at least transmitting the instruction information. According to the audio transmission system, through the annular audio link, the operational capability and reliability of the system can be improved.

This invention discloses a second-stage sampling time control circuit for a PIPELINE SAR ADC, relating to the field of integrated circuit technology. It includes a second-stage sampling circuit and a second-stage sampling clock generation circuit. The second-stage sampling circuit includes a margin amplifier, a second-stage sampling switch, an input capacitor, a feedback capacitor, and a load capacitor. The input terminal of the margin amplifier is connected to a reference voltage terminal through the second-stage sampling switch and the input capacitor, and the output terminal is grounded through the second-stage sampling switch and the load capacitor. The second-stage sampling clock generation circuit includes an inverter, a delay circuit, and an AND gate. The first input terminal of the AND gate is connected to the input signal, and the second input terminal is connected to the input signal through the delay circuit and the inverter. The output terminal outputs a level signal used to control the on / off state of the second-stage sampling switch. This invention designs the sampling time of the second-stage SAR ADC to vary with the PVT, reducing the bandwidth requirement of the margin amplifier at the SS corner and decreasing the power consumption of the margin amplifier.

The embodiment of the invention provides a data processing method, a data screening method and a data compression method, and the data processing method comprises the steps: obtaining reference time sequence data information and a corresponding reference time point, and obtaining a reference data processing window corresponding to reference starting time sequence data information and a reference starting time point; and calculating a reference data time difference based on the reference time point and the reference starting time point, and generating a window data information range according to the time difference and the reference starting time sequence data information. When the reference time sequence data information falls within the range and the time difference does not exceed a preset threshold value, continuously acquiring the reference time sequence data information; otherwise, acquiring and storing the target time sequence data information based on the reference time point, and taking the reference time sequence data information as the reference initial time sequence data information of the next reference data processing window. The window data information range is generated through the time difference, key information of the data is reserved during data processing, and then the accuracy of the data is guaranteed on the premise that the number of the data is reduced.

An event filtering method for operating an event-based image sensor comprising a plurality of pixel circuits, a pixel circuit comprising: - a photoreceptor circuit configured for delivering a photoreceptor signal, - a change detector configured for detecting a change in the photoreceptor signal and emitting an event upon each detection of a change, the event being characterized at least by a polarity reflecting a direction of the change, wherein an event filter (20) receives a series of events and, for each received event, the event filter accepts or rejects the received event, the event filter (20) accepting a received event only when a first condition a) and a second condition b) are fulfilled: a) the received event has a same polarity as a polarity of at least a last received event, and, b) the received event and the last received event are separated by a time interval shorter than a time threshold.

The invention relates to the field of expressway safety, in particular to an expressway alarm event rechecking method and device, electronic equipment and a computer readable storage medium. The method comprises the steps that a plurality of alarm images corresponding to an alarm event are acquired, and the alarm images comprise target objects; obtaining motion feature description of the target object according to the plurality of alarm images, and constructing a re-checking prompt word according to the motion feature description; and inputting the re-checking prompt word and any alarm image into a multi-mode large model, and obtaining an alarm event re-checking result output by the multi-mode large model. According to the expressway alarm event rechecking method and device, the electronic equipment and the computer readable storage medium provided by the invention, the technical effects of improving the accuracy of an expressway alarm event rechecking result and reducing the expressway alarm event rechecking cost can be realized.

A smart image recognition integrated circuit chipset is a single chipset disposed in an image acquisition device, serving as a replacement for an image acquisition chip, an image front-end processing chip, and a back-end device image recognition chip. The smart image recognition integrated circuit chipset includes: a dynamic random access memory (DRAM) wafer layer; and a logic wafer layer disposed on the DRAM wafer layer. The logic wafer layer includes a redistribution layer at the bottom and a logic circuit layer above the redistribution layer. The logic circuit layer has a multiply-accumulate operation structure and a static random access memory (SRAM) structure. The DRAM wafer layer and the redistribution layer of the logic wafer layer are interconnected by hybrid bonding.

The application relates to a method for measuring delay difference between optical fiber channels based on nonlinear fitting, belonging to the technical field of optical fiber communication and measurement. The method comprises the following steps: dividing a modulated optical signal into a reference path signal and at least one measuring path signal, inputting the signals into different cores of a multi-core optical fiber or different optical fibers for transmission, respectively, carrying out photoelectric conversion and resampling to obtain the sampled reference path signal and the at least one measuring path signal; then carrying out Fourier transformation and squaring on the sampled reference path signal and the at least one measuring path signal to obtain power spectrum of the corresponding signals; then carrying out waveform nonlinear fitting on the power spectrum to obtain a frequency domain correlation peak expression and carrying out inverse Fourier transformation to obtain a time domain correlation peak expression; and carrying out correlation and fitting on the sampled reference path signal and the at least one measuring path signal by using the time domain correlation peak expression to obtain the coordinates of the fitted correlation peak, and calculating the delay difference between the optical fiber channels. The application has high measurement precision, low bandwidth requirement and low calculation complexity.

A method and system for encoding salient regions in real-time rendering scenarios includes: configuring the importance of various objects on the application screen; generating a video stream in real time based on user-input control information; acquiring and rendering the current frame from the video stream; then, based on the configured object importance, re-rendering the corresponding importance texture map of the current frame in the GPU buffer through the rendering context; finally, sending the current frame and its importance texture map into the CPU; calculating the QP increment that needs to be adjusted for each macroblock in the current frame based on the importance weight of macroblocks in the importance texture map; then adjusting the QP value of each macroblock based on the QP increment; and encoding the current frame based on the QP value. This invention relates to the field of information and communication networks, and can acquire and encode accurate object-level salient regions from the rendering pipeline in real time, enhancing the video quality of user-interested regions while ensuring real-time performance. It is suitable for real-time rendering scenarios such as video games.

The present invention discloses an ultrasonic full-focus full-matrix data compression method. In the full-matrix acquisition process, since the distance between two adjacent array elements is very close, after the two adjacent array elements are excited, the echo data sampled by all the array elements have extremely strong correlation. Thus, by calculating the residual of the echo data of two adjacent continuous array elements, since the echo data collected when the two adjacent continuous array elements are excited have strong correlation, there are many small data in the difference. By using exponential Golomb coding for the difference, the FMC data can be greatly losslessly compressed. Thus, the bandwidth requirement of data transmission can be reduced to meet the real-time requirement of detection. Moreover, under the same data bandwidth, more full-matrix acquisition data can be transmitted to improve the frame rate of FMC full-focus imaging.

The application discloses a kind of based on blockchain's internet of things equipment authentication method and system, belong to internet of things technical field, this internet of things equipment authentication method includes following steps: step 1, equipment registration, specifically including following steps: step 1.1, generates the dynamic identity code of internet of things equipment;Step 1.2, server verifies dynamic identity code;Step 1.3, block chain receives and stores the data uploaded by server;Step 2: mutual authentication between internet of things equipment and server, specifically including following steps: step 2.1, the authentication initialization of internet of things equipment;Step 2.2, the authentication of internet of things equipment in server and the session key generation of server;Step 2.3, the authentication of server in internet of things equipment and the state reconstruction of internet of things equipment.The application avoids the risk of large-scale information leakage caused by the CA being broken;Significantly reduce the burden of internet of things equipment, further optimize overall communication efficiency.

The invention discloses a satellite image semantic coding and decoding method based on a diffusion generation model in the technical field of intelligent coding and decoding. According to the satellite image semantic coding and decoding method based on the diffusion generation model, a variational auto-encoder pre-training model in the diffusion generation model is adopted at a satellite communication sending end, image codes are converted into semantic space feature tensors, and then noise adding is carried out on the semantic space feature tensors based on a noise adding method of the diffusion generation model. And guiding the noise-added semantic space feature tensor to execute a denoising process through text constraint at a receiving end, and inputting a result into a variational self-decoder to recover the result into an image. According to the satellite image semantic coding and decoding method based on the diffusion generation model, under the condition that the target recognition accuracy and the image transmission quality are guaranteed, the transmitted data volume can be greatly compressed, and the method can adapt to a satellite communication channel with a lower signal-to-noise ratio.

The invention relates to a neural network model training method and device, a neural network model calculation method and device, electronic equipment and a computer program product. According to the training method of the neural network model, the neural network model comprises a neural network layer, and the method comprises the following steps: dividing a target tensor in the neural network layer into at least two data blocks; for each data block, determining a corresponding public index according to the amplitude information of the elements in the data block; normalizing all elements in the data block relative to the common index to obtain a corresponding mantissa; for each element, only corresponding mantissa and sign bit are stored; the public indexes are stored according to data blocks, layers or channels; when the neural network model is trained, the public index, the bit width of the mantissa and the weight parameter of the neural network layer are updated through back propagation. According to the technical scheme, the requirements for the storage space and the memory bandwidth of the neural network model can be remarkably reduced on the premise that the precision is controllable.

The present invention discloses a display adaptation method and a display adaptation device without frame buffering, and the hardware involved includes: a host device, a display adaptation device and a display; the scheme can complete the display adaptation operation when the display adaptation device does not perform frame buffering processing; the beneficial technical effect of the present invention is: a display adaptation method and a display adaptation device without frame buffering are proposed, and the display adaptation device obtained by the scheme has the advantages of low cost, low power consumption and small size.

The application discloses a convolution operation method and device. The specific implementation scheme is as follows: the method comprises the following steps: configuring a split parameter; inputting the split parameter, the parameter of the convolution operation and the parameter of the convolution acceleration device into a cost function to obtain the optimal value of the split parameter under the condition of meeting the constraint condition; adopting the optimal value of the split parameter to split input image data and weight data used for inputting the convolution acceleration device into a plurality of input data blocks and a plurality of weight data blocks; and controlling the plurality of input data blocks and the plurality of weight data blocks to be input into an internal local buffer, so that an operation device obtains the input data blocks and the weight data blocks required by the convolution operation from the internal local buffer, and performs the convolution operation on the input data blocks and the weight data blocks to obtain a plurality of output data blocks. The average utilization rate of the convolution acceleration device is improved, the time of the convolution operation is effectively reduced, and the balance between the utilization rate and the bandwidth demand of the convolution acceleration device is realized.

The invention discloses a viewpoint data transmission method, device and system, a medium and a program product. Comprising the following steps: a terminal device receives target viewpoint data transmitted by a base station device; wherein the base station equipment is used for determining and transmitting the target viewpoint data to the terminal equipment based on a viewpoint transmission strategy associated with the data processing state of the naked eye 3D service of the terminal equipment at the current moment; the number of viewpoint data in the target viewpoint data is smaller than the number of viewpoint data in the viewpoint data set; the viewpoint data set is associated with the naked eye 3D service; and loading the target viewpoint data. According to the scheme, the naked-eye 3D data display requirement of the terminal equipment can be met, transmission of redundant viewpoint data is reduced, and consumption of data transmission resources is reduced.

Provided are an uplink feedback method, apparatus and device, the method comprising: a station receiving a first frame sent by an access point, the first frame comprising first information, the first information being used for instructing the station to feed back compressed channel state information; the station receives a second frame sent by the access point, wherein the second frame is used for the station to perform channel estimation; and the station sends a third frame to the access point, the third frame comprising the compressed channel state information, the compressed channel state information being obtained by performing m times of polynomial fitting processing on the channel state information, the channel state information being obtained by performing channel estimation based on the second frame, m being a positive integer.

According to the multiplexing photon Doppler velocity measurement method and device provided by the invention, velocity measurement of M * N velocity measurement points can be realized only by a single set of device, so that velocity measurement of a large number of points is technically feasible; when two oscilloscope channels are used, speed signal retest of M * N speed measurement points can be realized, the hidden danger of test data loss caused by oscilloscope and channel faults can be effectively reduced, and the reliability is obviously improved.