1656 results about "Code rate" patented technology

The present disclosure provides a variable-bit-rate image compression method and system, an apparatus, a terminal, and a storage medium. The variable-bit-rate image compression method includes: obtaining an initial feature map from a to-be-encoded image; quantizing the initial feature map by a dead-zone quantizer; performing entropy encoding on the quantized feature map and hyper-prior information to obtain a compressed bit-stream; performing entropy decoding on the compressed bit-stream, and recovering quantized hyper-prior information and the quantized feature map; performing inverse quantization on the quantized feature map to obtain a reconstructed feature map; obtaining a reconstructed image from the reconstructed feature map; and adjusting quantization and inverse quantization parameters according to a target bit-rate or target distortion. The present disclosure provides a precise bit-rate control solution, makes the bit-rate of the compressed bit-stream better adapt to the dynamic change of a network bandwidth, and has an extremely high actual application value.

An apparatus may include a transmitter and one or more processors. The one or more processors may identify, based on a first parity check matrix of a first quasi-cyclic-low-density parity-check (QC-LDPC) code according to a code rate of 3 / 4, a second parity check matrix corresponding to a first exponent matrix comprising 576 values for a second QC-LDPC code. The second QC-LDPC code may have a code block size that is twice a code block size of the first QC-LDPC code. The one or more processors may encode data using the second parity check matrix. The transmitter may be configured to transmit the encoded data.

The present disclosure is related to multi-access traffic management in multi-access computing environments. A reliability enhancement engine (REE) operated by a multi-access multipath traffic manager identifies traffic flows that have high reliability requirements (“reliability flows”) and performs admission control for the reliability flows. The REE determines a coding rate (e.g., a redundancy factor) and traffic distribution strategies for the identified reliability flows. The REE applies cross-access network coding (NC) on the reliability flows, and handles multi-access acknowledgements and traffic pacing, which may involve multiplexing traffic of the reliability flows with non-high-reliability traffic. Other embodiments may be described and / or claimed.

The invention discloses a compression transmission method and device for an electric power safety supervision video and electronic equipment. The method comprises the steps that an electric power safety monitoring video needing to be transmitted is acquired, the electric power safety monitoring video is used for representing the electric power safety monitoring video, the electric power safety monitoring video at least comprises an image frame set and an audio, and the image frame set at least comprises a current image frame; identifying a dynamic area and a static area in the current image frame; code rate distribution is carried out on the current image frame based on the dynamic area and the static area, a code rate distribution result is obtained, and the code rate distributed to the dynamic area in the code rate distribution result is larger than the code rate distributed to the static area; compressing the image frame set based on the code rate distribution result to obtain a compressed image frame set; and constructing a compressed safety supervision video based on the compressed image frame set and the audio, and transmitting the compressed safety supervision video. According to the invention, the technical problem that the compression transmission efficiency of the electric power safety supervision video is low in the prior art is solved.

An apparatus may include a transmitter and one or more processors. The one or more processors may identify, based on a first parity check matrix of a first quasi-cyclic-low-density parity-check (QC-LDPC) code according to a code rate of 5 / 6, a second parity check matrix corresponding to a first exponent matrix comprising 384 values for a second QC-LDPC code. The second QC-LDPC code may have a code block size that is twice a code block size of the first QC-LDPC code. The one or more processors may encode data using the second parity check matrix. The transmitter may be configured to transmit the encoded data.

The invention discloses a video compression intelligent preprocessing method, system and device based on frequency domain perception optimization and a medium. The method comprises the following steps: constructing a preprocessing model; preprocessing the input coding frame and the reference frame; enabling the preprocessed coding frame and reference frame to pass through a virtual encoder to obtain a frequency domain coefficient of a residual frame, and calculating a code rate of the coding frame; enabling the frequency domain coefficient of the residual frame to pass through a virtual decoder to obtain a decoded frame; training a preprocessing model; testing the effect; the system, the equipment and the medium are used for implementing the method. According to the method, a frequency domain sensing module is introduced into a virtual encoder in a training stage, modeling is carried out on a frequency domain information context, and statistical redundancy between transformation units is eliminated; an optical flow collaboration module is introduced into a virtual encoder, local distortion of a prediction frame is repaired in a feature domain by using high-level semantic information, and the difference between training and actual deployment is effectively reduced; through the optimization, the preprocessing model can better learn the rate distortion characteristic of the standard encoder, and the quality of the preprocessed video is remarkably improved.

The invention discloses an extreme compressed video coding method based on an intelligent reference frame, comprising the following steps: S1, acquiring an original video stream, dividing the original video stream into frame groups according to a time sequence, each group comprising a current frame and a candidate reference frame; s2, carrying out region positioning on the candidate reference frame, extracting motion, edge and background regions, and generating a mapping graph; s3, calculating a quality score based on the mapping graph according to a motion vector, gradient change and a region overlapping rate; s4, selecting three frames with highest scores to form a reference set, and establishing an index structure; s5, predicting the current frame by using the reference set to generate a predicted frame and a residual error; s6, multi-path coding cost is calculated, and a path with the minimum cost is selected; and S7, entropy coding is carried out on the reference index, the motion vector, the residual error and the control parameter, a code stream is output, and calling information is recorded. According to the method, the compression ratio and prediction precision of video coding are improved, the image quality is maintained while the code rate is reduced, and the method is suitable for efficient transmission and storage of high-resolution videos.

An apparatus may include a transmitter and one or more processors. The one or more processors may identify, based on a first parity check matrix of a first quasi-cyclic-low-density parity-check (QC-LDPC) code according to a code rate of 2 / 3, a second parity check matrix corresponding to a first exponent matrix comprising 768 values for a second QC-LDPC code. The second QC-LDPC code may have a code block size that is twice a code block size of the first QC-LDPC code. The one or more processors may encode data using the second parity check matrix. The transmitter may be configured to transmit the encoded data.

The invention discloses a low signal-to-noise ratio direct spread signal detection method based on noise cancellation, and belongs to the field of communication spectrum sensing. The self-adaptive noise cancellation method based on the minimum mean square error is adopted, non-stationary noise interference can be tracked and eliminated in real time, filtering parameters are automatically optimized in an unknown channel environment, and a signal detection system can adapt to different background noise conditions. And stable signal detection is realized in a low signal-to-noise ratio environment by utilizing a cyclic spectrum analysis method and extracting the cyclic stability characteristic of the direct spread signal. The existence of the signal is judged through the characteristic spectrum peak on the non-zero cyclic frequency, and the carrier frequency and the pseudo code rate are further estimated, so that more accurate signal identification and parameter extraction are realized, the influence of noise uncertainty on the detection performance is avoided, and the detection robustness and reliability are improved. Welch smoothing processing and short-time Fourier transform are combined, the variance of spectrum estimation is reduced when the cyclic spectrum is calculated, and the detection robustness is improved.

The invention belongs to the field of image / video compression, and discloses an intelligent image compression encoder based on a conditional reversible neural network, which comprises an image enhancement module, a reversible multi-frequency fusion network RMFFN and an entropy model, and is characterized in that the image enhancement module comprises a multi-expansion channel refiner module MDCR and an expansion residual attention module RDAM; the image enhancement module optimizes input features and constructs a conditional reversible neural network by using a flow model, namely, multi-stage nonlinear mapping is realized by stacking four reversible multi-frequency fusion networks; the super-prior codec of the entropy model extracts hidden variable features by stacking multi-scale residual attention blocks, and introduces a discrete Gaussian mixture likelihood model in an entropy coding stage. According to the method, high-fidelity reconstruction is still kept at a low bit rate, and the technical problems of bit rate-distortion balance, high-frequency detail retention and calculation efficiency of a traditional method are solved.

An apparatus may include a transmitter and one or more processors. The one or more processors may identify, based on a first parity check matrix of a first quasi-cyclic-low-density parity-check (QC-LDPC) code according to a code rate of 1 / 2, a second parity check matrix corresponding to a first exponent matrix comprising 1152 values for a second QC-LDPC code. The second QC-LDPC code may have a code block size that is twice a code block size of the first QC-LDPC code. The one or more processors may encode data using the second parity check matrix. The transmitter may be configured to transmit the encoded data.

The invention discloses a packet loss error correction method and system based on a sliding window, and belongs to the field of packet loss error correction, and the method comprises the steps: setting an original data packet number N, a redundant data packet number M, FEC coding time and FEC decoding time, and determining a preliminary window size according to the FEC coding and decoding time, a packet loss rate, a code rate and jitter rate information; carrying out redundancy coding on the data packets by adopting forward error correction codes, and sequentially sending N + M data packets by a sending end based on a sliding window; the receiving end maintains a receiving window, stores the received data packet, and performs error correction by using the redundant packet; detecting the lost data packet by adopting an acknowledgement mechanism, and if the ACK or the NACK is not received in the Ttimeout, retransmitting the lost data packet by the transmitting end; and dynamically adjusting the window size according to the packet loss rate. According to the method, the window size and the FEC redundancy ratio are dynamically adjusted according to the network packet loss rate, adaptive adjustment is achieved in different network environments, bandwidth waste is reduced, higher error correction capacity is provided in a high packet loss environment, and data transmission efficiency is improved.

The invention provides a user experience optimization method and system for an audio and video transmission system, and the method comprises the steps: firstly obtaining a transmission quality data set in the audio and video transmission process of a target terminal, the transmission quality data set comprises a plurality of transmission session sequences, and each transmission session sequence is composed of network fluctuation, coding and decoding parameters, user feedback and other features; performing transmission feature extraction on the data set to obtain audio and video synchronization, dynamic code rate and decoding delay features, calling a pre-trained reinforcement learning optimization model, performing dynamic aggregation processing on the features to generate a transmission quality evaluation result, and finally determining a dynamic transmission optimization strategy based on the transmission quality evaluation result. And the real-time transmission parameter adjustment operation is triggered, so that the user experience of the audio and video transmission system is optimized.

The embodiment of the invention provides a coding and decoding method and an end-cloud cooperation system. The coding and decoding method is realized based on the end-cloud collaborative system, and the total code rate of the end-cloud can be reduced under the condition of ensuring the end-side rendering picture. The encoding method comprises the steps that rendering processing is carried out on a three-dimensional scene to obtain a rendered image, a rendering intermediate result is generated in the rendering processing process, and the rendering intermediate result comprises a first rendering intermediate result. And performing target operation on the reconstructed image based on the first rendering intermediate result to generate a virtual reference block. And predicting the rendered image based on the virtual reference block to obtain a predicted image. And encoding a residual image between the predicted image and the rendered image to obtain a code stream. Wherein the target operation comprises at least one of reprojection, validity check, weighted averaging, hole filling or intra-frame noise reduction.

The invention relates to the technical field of satellite communication signal processing, and discloses a broadband satellite signal blind demodulation reconstruction method and system based on sparse representation. The method comprises the following steps: carrying out frequency domain transformation on broadband satellite mixed signals to extract pilot frequency features to construct a beam state feature matrix, inputting the matrix into an adversarial network to generate a beam adaptive sparse dictionary, constructing a topological relation graph according to a Doppler frequency shift set, and carrying out collaborative sparse decomposition to obtain a sparse coefficient matrix; and extracting a code rate candidate set to execute parallel sparse reconstruction, determining an actual code rate through self-consistency verification to obtain a complete signal, analyzing a switching instruction, extracting time sequence statistical characteristics, predicting target domain characteristics, generating a switched sparse dictionary, and executing demodulation. The sparse decomposition precision, the code rate blind estimation accuracy, the cooperative processing efficiency and the switching continuity of the broadband satellite mixed signals are improved.

The invention relates to the field of network communication, and particularly discloses a network self-adaptive video conference transmission optimization method and system, and the method comprises the steps: systematically analyzing a historical data sequence of a network state, and extracting a deep trend and mode of a network behavior from the historical data sequence; meanwhile, different requirements of the type of the current conference video frame on transmission parameters (especially code rates) are fully considered, and the key information is fused into a decision-making process. Through a specially designed fusion model, the historical evolution trend of the network state and the specific requirement of the current video content can be intelligently subjected to interactive perception and cooperative processing, so that a video target code rate which can adapt to future network fluctuation and can meet the current picture quality requirement is generated. Based on the dynamically optimized target code rate, the system further determines an appropriate target resolution and an appropriate target frame rate, and the video is coded and transmitted.

Methods, systems, and devices for wireless communications are described. A wireless device may perform a probabilistic shaping procedure using a shaping rate that is selected in accordance with a rule associated with a target spectral efficiency value, a modulation order, or both. Similarly, the wireless device may perform a channel coding procedure whose coding rate is selected in accordance with the rule. The rule may correspond to a relationship between the coding rate and the shaping rate. In some cases, the wireless device may select the shaping rate and the coding rate to be predefined values based on a target spectral efficiency value. In some examples, the wireless device may select the shaping rate and the coding rate based on a threshold coding rate, a quantity of punctured nodes used in the channel coding procedure, a quantity of layers corresponding to a multi-layer transmission, or any combination thereof.

The present disclosure relates to the technical field of computers. Disclosed are a video processing method and apparatus, and electronic device, and a storage medium. The method provided by the present disclosure comprises: obtaining a current video frame and a current bandwidth corresponding to the current video frame; performing bit rate prediction on the basis of video frame information and a target quantization parameter to obtain a predicted bit rate of the current video frame, wherein the video frame information comprises a content analysis result of the current video frame and / or frame information of a previous output frame, and the previous output frame is an output frame corresponding to a previous video frame; determining a target bit rate of the current video frame on the basis of the predicted bit rate and the current bandwidth; and encoding the current video frame on the basis of the target bit rate, and determining a current output frame. The method realizes dynamic adjustment of a bit rate of an encoder, and avoids bandwidth resource waste when a definition objective is met.

The invention discloses a code rate adaptive image compression method and system, and the method comprises the steps: obtaining an input image, and calculating the local information entropy of the input image to generate a spatial adaptive mask; obtaining target code rate and actual code rate information to generate a code rate control signal; and dynamically selecting a calculation path by using a mask through a dynamic reversible neural network, and executing reversible quantization transformation according to the control signal to obtain a compressed bit stream and actual code rate information for closed-loop feedback. According to the method, a symmetric reversible framework with shared parameters is constructed, so that the model storage requirement is reduced; the calculation depth of the network is dynamically adjusted through entropy sensing gating, and the overall calculation amount is reduced; and a composite control and PID optimization mechanism is adopted, so that continuous and smooth code rate control is realized. The deployment and application efficiency of the compression system in a resource limited scene can be effectively improved.

The invention discloses a system convolutional code parameter blind identification method and device and a storage medium, and belongs to the technical field of digital communication. The method comprises the following steps: S1, acquiring binary code stream data and constraint length of a system convolutional code; s2, constructing a coefficient matrix according to the initial constraint length and the initial code length, performing Walsh transformation and counting the number of peak values; s3, traversing the code length and the constraint length of the convolutional code of the system; s4, obtaining a correct code length and a correct constraint length from the binary code stream data; s5, selecting an initial position according to the correct code length and the correct constraint length; s6, traversing the initial position, and performing Gaussian transformation on the system matrix; and S7, according to the matrix after Gaussian transformation of the system convolutional code, obtaining a correct initial position and a check matrix so as to obtain parameter information of the system convolutional code. The method has the advantages of being high in recognition speed, small in required data size, high in fault tolerance, capable of meeting the recognition requirement of a high code rate and the like.

The invention discloses a continuous variable quantum key distribution method, device and system, and belongs to the field of wireless communication. Firstly, a sending end generates continuous light pulses for discrete coding, a one-dimensional discrete modulation signal is generated, quantum signal light is generated through an attenuator, and the quantum signal light is coupled to a quantum channel for transmission. Then, a receiving end adopts a homodyne detector to measure the regular component of the quantum signal in a self-calibration manner; and after a local measurement base direction and a phase drift angle introduced by a dynamic compensation quantum channel are adjusted in real time, a covariance matrix is calculated and input into a post-processing module, the code rate of the system is further calculated, and a security key is generated by using a protocol between a receiving end and a transmitting end. According to the device, the intensity modulator is connected between the laser and the attenuator, so that one-dimensional discrete modulation is realized, and dependence on a phase reference signal is avoided. According to the system, a traditional phase locking module is removed, an asymmetric phase space coding mechanism is adopted, dependence on a phase reference signal is eliminated, and the safety and stability of the system are improved.

The invention relates to the technical field of video coding and image processing, and discloses a code rate control method and system based on video image segmentation, and the method comprises the steps: carrying out the pixel-level semantic segmentation of a to-be-coded video frame sequence; extracting a foreground region of interest; calculating a corresponding segmentation uncertainty parameter; establishing semantic mutation parameters of the foreground region of interest; generating a semantic perception weight; executing region-level target code rate redistribution and quantization parameter mapping; and executing partition coding control. In the prior art, code rate control mainly depends on motion intensity or pixel complexity, and especially when a foreground target suddenly appears or disappears in a monitoring scene, a technical problem that a key target is blurred or a background code rate is wasted is easily caused. Due to the fact that the uncertainty modeling and semantic mutation sensing mechanism of the semantic segmentation result is introduced, priority coding of the foreground interest area is achieved under the frame-level code rate constraint condition, and the video coding quality and the code rate utilization efficiency are improved.

The invention relates to the technical field of audio encoding and decoding, in particular to a fast encoding and decoding method and system for real-time audio. The method comprises the following steps: acquiring real-time sampling data of an input audio stream, and performing multi-time-point sliding window division and coding preprocessing to generate a coding preprocessing enhanced audio; carrying out adaptive quantization strategy analysis on the coding preprocessing enhanced audio, carrying out multi-level residual quantization modeling, and constructing a real-time increment coding mapping table; performing multi-module decomposition execution based on the real-time incremental coding mapping table, performing multi-thread parallel coding optimization, and constructing a real-time audio parallel coding strategy; and carrying out real-time coding processing according to a real-time audio parallel coding strategy, and carrying out task-by-task code rate distortion optimization to obtain an optimal coding parameter of each coding task. According to the invention, high-fidelity and low-delay audio coding and decoding are realized, and the auditory experience of a user is improved.

The invention discloses a 10kV medium-voltage power distribution network power line carrier communication method and system based on adaptive OFDM (Orthogonal Frequency Division Multiplexing), and the method comprises the steps that a master station sends a detection frame to a slave station, and the slave station carries out the CE (Channel Estimation), and obtains the CSI (Channel State Information); the method comprises the following steps of: dividing a broadband channel into a plurality of parallel orthogonal subcarriers, and dynamically allocating a modulation mode, a modulation order and a forward error correction (FEC) coding rate for each subcarrier of OFDM (Orthogonal Frequency Division Multiplexing) by adopting a water injection algorithm based on channel state information (CSI); adopting two-stage automatic gain control (AGC) to condition a signal received from a power line; and carrying out dynamic frequency hopping between a frequency band with serious interference and an idle frequency band based on a continuous spectrum sensing result. Compared with the prior art, through the multi-dimensional adaptive technology, the communication system can sense the channel state in real time and dynamically adjust the communication strategy, so that a stable communication link is established in a severe power grid environment.

The invention provides an image coding method and system based on a single-step diffusion model, and the method comprises the steps: coding a potential representation to a decoding end through employing an extremely low bit rate based on a stable diffusion model (SD-Turbo) and a depth potential representation compression model, and obtaining a reconstructed image through single-step denoising; a group of auxiliary encoders and decoders are introduced, rich and entropy-perceived pixel-level original image semantic information is extracted at an encoding end, and decoded image structure information is shared for a single-step denoising process at a decoding end; and the whole model is subjected to end-to-end optimization by adopting code rate and pixel level constraint so as to achieve the optimal subjective coding quality. According to the invention, the technical problems of high decoding complexity and poor reconstruction consistency are solved.

The invention provides a GEO communication satellite uplink signal Doppler frequency compensation method and device. The method comprises the following steps: acquiring a satellite orbit determination result corresponding to a GEO communication satellite; determining a Doppler compensation frequency curve according to the satellite orbit measurement result and the local frequency of the frequency conversion of a satellite transponder configured in the GEO communication satellite; and compensating a first uplink signal to be transmitted from the ground station to the GEO communication satellite by using the Doppler compensation frequency curve through the compensation frequency mixer, and transmitting the compensated first uplink signal to the GEO communication satellite. According to the invention, under the condition that the user receiver is non-inductive, the carrier frequency and the spreading code rate of the user receiver are changed in equal proportion, so that the user receiver can adopt a receiving algorithm of the carrier-assisted spreading code rate to improve the sensitivity.

The invention relates to a downlink data transmission method and device, equipment and a storage medium. According to the invention, the base station sends the first indication information to the terminal to indicate whether the terminal performs coverage enhancement. And under the condition that coverage enhancement needs to be carried out, sending second indication information to the terminal, and sending downlink data to the terminal according to the second indication information. According to the embodiment of the invention, the terminal receives the downlink data from the corresponding time slot on the basis of the repetition times of the downlink data indicated in the second indication information and / or the time slot number for transmitting the downlink data, and the same downlink data is transmitted in multiple time slots, so that the demodulation performance is improved by reducing the code rate. Besides, the terminal merges the repeated downlink data received on different time slots, so that the success rate of receiving the downlink data by the terminal is improved, the transmission delay caused by retransmission is avoided, and the downlink data transmission efficiency of the satellite communication system is improved.

The invention discloses a multi-granularity generation type video compression method, which comprises the following steps of: acquiring a video frame sequence, performing spatial-temporal characteristic decomposition, decomposing and mapping a video signal to three potential subspaces to obtain a first potential subspace representation, a second potential subspace representation and a third potential subspace representation, the second potential subspace represents space-time motion features in the video, and the third potential subspace represents high-frequency detail information in the video; and encoding the first, second and third encoded data to generate corresponding first, second and third encoded data, and combining the first, second and third encoded data to generate a compressed code stream. According to the method, the problem of unbalanced code rate distribution is effectively solved, and content self-adaptive efficient compression is realized; the multi-scale feature extraction capability is enhanced, the problem of sub-band matching mismatching is avoided, and the compression performance is improved.

Embodiments of this application provide a communication method and apparatus, to reduce complexity of a polar code construction process. The method includes: obtaining a to-be-encoded bit sequence, where the to-be-encoded bit sequence includes K information bits, and K is an integer greater than 0; determining a first sequence, where positions of the K information bits in the first sequence are determined based on a second sequence corresponding to a target code rate and a value of K, the second sequence is used to represent selection priorities of N0 bit positions, and N0 is an integer greater than K; performing polar code encoding on the first sequence to obtain a third sequence; and sending the third sequence. The second sequence is designed for a constant code rate, and a same sequence may be used to construct a series of polar codes having a same code rate and different lengths.

The invention discloses an intelligent household water processing terminal interaction control system based on 2.4 G hotspot networking, and particularly relates to the technical field of household water processing terminal interaction control. The overall system time sequence risk is accurately assessed by generating a time sequence consistency loss index, dynamic sampling adjustment, code rate optimization and control action rectification strategies are triggered based on the index, key data are uploaded preferentially, key control actions are executed preferentially, the problems of data transmission conflicts and time sequence lagging are effectively relieved, and meanwhile, the data transmission efficiency is improved. A node execution result and a control action receipt record are written into a state mirror image, the state mirror image and a time sequence consistency loss index are jointly evaluated to generate a safety degradation condition, and an executable safety strategy is synchronously issued, so that self-adaptive degradation and quick recovery of a system under abnormal conditions are realized, and continuity and stability of a water treatment process are ensured.