156 results about "Signal coding" patented technology

The invention discloses a global-oriented multi-language multi-time-zone power station management method and system, and relates to the technical field of electric power digital management, and the method comprises the steps: collecting power station data, carrying out the standardized identification, and constructing a power station multistage coding identification main key; a multi-language mapping system is constructed by taking a multi-level coding identification main key of a power station as a drive, and time zone offset logic is constructed by using standardized identification; and performing hierarchical authority control based on the power station multi-level coding identification primary key prefix and generating a localized alarm prompt. According to the method, standardized identification of power station data is realized by constructing a unified power station multi-level coding main key; based on primary key driving multi-language mapping and time zone offset processing, accurate presentation and time consistency of data in a multi-language environment are guaranteed; authority control is achieved through primary key prefix division, multi-language alarm prompts are triggered in combination with signal coding, and a power station event management mechanism which is clear in alarm semantics, timely in response and controllable in boundary is achieved.

A multi-modal signal recognition and dialogue method based on a large language model comprises the steps that a signal coding module based on time sequence modeling is constructed, preprocessing and feature extraction are conducted on input I / Q signal data, and semantic alignment pre-training of signal features and modulation type text description is achieved through a contrast learning mechanism; designing a multi-modal fusion architecture, mapping signal features to a hidden space of a large language model by adopting a signal projector, and realizing deep fusion of the signal features and text features through special markers; constructing a dialogue generation module based on a pre-trained large language model, receiving the fused multi-modal input, and generating a natural language answer about signal analysis; performing feature alignment by training a double-layer MLP projector to realize end-to-end multi-modal signal understanding and dialogue ability; an intelligent question-answering system in a reasoning stage is constructed, natural language interaction between a user and the system is realized through a predefined professional prompt word template and a signal feature fusion mechanism, and multi-dimensional signal analysis query requirements are supported. According to the invention, the organic combination of signal understanding and natural language generation is realized, and the accuracy of signal identification and the user interaction experience are improved.

The invention discloses a gesture recognition control method and system for a range hood and the range hood. According to the gesture recognition control method for the range hood, two sets of infrared geminate transistor sensors are controlled to emit infrared emission signals with preset coding values in a synchronous period; acquiring the signal intensity, the signal coding matching degree and the receiving time interval of two groups of corresponding infrared receiving signals after the two groups of infrared sending signals are reflected, judging whether an effective gesture judgment condition is met or not based on the signal intensity, the signal coding matching degree and the receiving time interval, and when the effective gesture judgment condition is met, executing the step 2; if yes, the gestures currently detected by the two sets of infrared geminate transistor sensors are determined to be effective gestures, and the range hood is controlled to execute control actions corresponding to the control instructions based on the control instructions corresponding to the effective gestures; coding verification, intensity verification and sequential logic-based dual-channel correlation judgment are carried out on the two groups of infrared receiving signals, so that efficient, reliable and high-interference-resistance non-contact waving action recognition can be ensured.

An embodiment is related to a decoder / encoder for decoding / encoding a multi-channel digital signal from / into a data stream configured to decode / encode coded channels representing the multi-channel digital signal from / into the data stream in temporal blocks with sequentially decoding / encoding from / into the data stream a predetermined temporal block of each of the coded channels before decoding a subsequent temporal block of any of the coded channels by determining one or more prediction parameters and predicting a current temporal block of a predetermined coded channel from a reference block portion of one or more reference channels using the one or more prediction parameters. The one or more prediction parameters are determined based on a preceding temporal segment of the predetermined coded channel and a preceding temporal reference segment of the one or more reference channels.

A sensing system (50) that can image a phase change medium comprises: a transmission device (10) that generates a radar signal, generates a code, generates a carrier signal, generates a high-frequency signal by using the carrier signal and a multiplication signal obtained by multiplying the radar signal by the code, and transmits the high-frequency signal from a plurality of transmission antenna elements (18); a reflection plate (22); and a reception device (30) that receives, by a plurality of reception antenna elements (32), a high-frequency signal that is a reflected wave reflected by the reflection plate (22) or a measurement target (21) that is a phase change medium, or a scattered wave scattered by the same, converts the high-frequency signal into a baseband or intermediate-frequency reception signal, generates transmission path information from the reception signal by using the radar signal, the carrier signal, and the code, identifies the position of the measurement target (21) by using the transmission path information, corrects the focal point of the measurement target (21), determines the phase change of the measurement target (21), and generates an image of the measurement target (21).

The application provides a semiconductor laser reservoir pool computing device based on silicon-based micro-resonant cavity optical feedback, and belongs to the technical field of photonic neuromorphic computing. Laser output by a driving laser is modulated by a phase modulator, and then is injected into a response semiconductor laser through a feedback cavity incoupler and a circulator; the output end of the response semiconductor laser is connected to an optical circulator in sequence through a second variable optical attenuator, a polarization controller, a silicon-based micro-resonator and a first variable optical attenuator, so as to form a silicon-based micro-resonator optical feedback loop; the output end of the feedback cavity incoupler is connected to a broadband photodetector, which is used to collect reservoir pool output signals; the phase modulator is loaded with a modulation signal containing an input signal and a random mask, so as to realize input layer signal coding. The application realizes the improvement of overall computing performance.

The invention discloses a free space optical communication system based on a structured optical frequency comb, and belongs to the field of optical communication. Comprising an optical frequency comb generation system, a signal coding system, a spatial light modulation and demodulation system and a signal receiving system. The optical frequency comb generation system is used for modulating input continuous laser into an adjustable optical frequency comb with high repetition frequency, short pulse width and high power; the signal coding system is used for separating the light with different wavelengths in the optical frequency comb, independently coding the light with each wavelength, and finally combining the light with different wavelengths again; the spatial light modulation and demodulation system is used for coupling the Gaussian beam in the optical fiber into a free space and converting the Gaussian beam into structured light, demodulating the structured light after the structured light is transmitted to a receiving end and re-coupling the structured light back to the optical fiber; the signal receiving system is used for receiving and analyzing the optical signals. According to the invention, the optical frequency comb and the structured light are combined, and the problem that optical signals are easily influenced by atmospheric turbulence in free space optical communication can be effectively solved on the premise of ensuring large communication capacity.

A video decoding method according to the present invention comprises the steps of: generating a merge candidate list of a current block; determining a merge candidate of the current block from merge candidates included in the merge candidate list; deriving an offset vector of the current block; and deriving a motion vector of the current block by adding the offset vector to the motion vector of the merge candidate.

A video coding mechanism for view-dependent video coding is disclosed. The mechanism includes receiving a spherical video signal spliced from a multi-directional video stream. The spherical video signal is mapped into a plurality of sub-picture video signals, each of which includes a sequence of sub-pictures. The plurality of sub-picture video signals are coded into a plurality of sub-picture bitstreams such that, when decoded in a decoder, each pixel in each sub-picture has a value equal to a corresponding pixel in a whole picture composed of the sub-pictures after decoding. The plurality of sub-picture bitstreams form a plurality of sub-picture tracks, and it is indicated that the sub-picture tracks conform to a specific video profile. The sub-picture bitstreams are sent to a decoder to support decoding and displaying a virtual reality video view.

This invention provides a method for improving the coding quality of multi-channel signals and an encoder. [Solution] The method includes the steps of: acquiring a multichannel signal of the current frame; determining an initial interchannel time difference (ITD) value for the current frame; and controlling the number of target frames that are allowed to appear consecutively based on characteristic information of the multichannel signal. The characteristic information includes at least one of the signal-to-noise ratio parameter of the multichannel signal and the peak features of the cross-correlation coefficient of the multichannel signal, and the ITD value of the frame preceding the target frame is reused as the ITD value of the target frame. The method also includes the steps of: determining the ITD value of the current frame based on the initial ITD value of the current frame and the number of target frames that are allowed to appear consecutively; and encoding the multichannel signal based on the ITD value of the current frame.

An audio encoding and decoding method and a related apparatus are provided. The audio encoding method may include: determining a coding mode of a current frame; when determining that the coding mode of the current frame is an anticorrelated signal coding mode, performing time-domain downmix processing on left and right channel signals in the current frame by using a time-domain downmix processing manner corresponding to the anticorrelated signal coding mode, to obtain a primary channel signal and a secondary channel signal, where the time-domain downmix processing manner corresponding to the anticorrelated signal coding mode is a time-domain downmix processing manner corresponding to an anticorrelated signal channel combination scheme, and the anticorrelated signal channel combination scheme is a channel combination scheme corresponding to a near out of phase signal; and encoding the obtained primary channel signal and secondary channel signal in the current frame.

The invention provides a nitrogen-doped upright graphene heterojunction, a preparation method, application, a signal coding device, an image generation device and an image generation method. The preparation method comprises the following steps: placing an SOI substrate in a growth chamber; vacuumizing the growth chamber; heating the SOI substrate; introducing methane and ammonia gas into the growth chamber, and growing nitrogen-doped upright graphene on the surface of the SOI substrate by a PECVD (Plasma Enhanced Chemical Vapor Deposition) process; and spin-coating a gold nanocluster solution on the surface of the nitrogen-doped upright graphene, so that gold nanoclusters are attached to the interior of the nitrogen-doped upright graphene.

The application provides a video sending method, a video receiving method and related devices, and relates to the field of digital video signal coding. The method comprises the following steps: obtaining an original transmission video, and obtaining an original transmission image according to the original transmission video; converting the original transmission image into a preset image format to obtain a converted transmission image; splitting the converted transmission image according to color information to obtain a plurality of color images, wherein the color images comprise a first color image, a second color image and a third color image; respectively encoding the plurality of color images to obtain a first encoded image of the first color image, a second encoded image of the second color image and a third encoded image of the third color image; converting the encoded images into transmission information; and sending the transmission information to a receiving end, so that the receiving end can obtain the original transmission video according to the transmission information. The method can reduce network pressure during transmission and make the received file meet the requirement of visual lossless quality after being decoded.

A video encoding / decoding method and device disclosed herein determine the current block through block division based on a tree structure and sub-sample the current block to form one or more sub-blocks from the current block, and can encode / decode the sub-blocks belonging to the current block according to a prescribed scan order.

The present disclosure provides an improved decoding method and improved method of encoding a bitstream to ensure backwards compatibility of bitstreams with legacy decoders. The decoding method, implemented by a decoder, comprises: receiving a bitstream including encoded data of an input signal, wherein the bitstream is formed of one or more substreams each comprising a size parameter defining a size of the substream; parsing at least one substream, the parsing comprising: determining a bit-length of the size parameter in dependence on a subset of bits included within the size parameter; parsing the size parameter to thereby determine a size of the substream.

A video signal encoding method according to an embodiment of the present invention comprises checking a transform block including residual samples except a prediction sample from a picture of the video signal, generating transform coefficients through a transform for the residual samples of the transform block based on a size of the transform block, and performing quantization and entropy coding the transform coefficients, wherein generating the transform coefficients includes, applying a forward primary transform to each of a horizontal direction and vertical direction of the transform block including the residual samples, and not applying a forward non-separable secondary transform to the transform block to which the primary transform has been applied when the size of the transform block is smaller than or equal to 4×4, and applying the forward non-separable secondary transform to the transform block when the size of the transform block is greater than 4×4.

This invention discloses a high-speed communication link transmitter modeling method based on a Transformer decoder. This method parameterizes the input signal and establishes a deep learning model with an encoder-decoder architecture, including a non-sequential encoder and a Transformer sequential decoder, to predict the output signal of the transmitter given the input signal. The encoder processes the input signal parameters, generates a context vector, and then passes it to the decoder. The decoder uses the context vector and the transmitter output signal sequence to generate a class probability distribution for each point in the sequence. The model is trained using a random masking strategy and employs non-autoregressive decoding and filtering techniques for inference, achieving parallel output sequence prediction. The final output is obtained through a single signal filtering step. Compared with traditional simulation techniques, this method significantly improves simulation speed while maintaining a very small error.

An image signal encoding / decoding method and device according to the present disclosure may comprise the steps of: partitioning the current block into a plurality of partitions on the basis of geometric partitioning, wherein the plurality of partitions include a first partition and a second partition; generating a first prediction block for the first partition by performing any one of intra prediction or inter prediction; generating a second prediction block for the second partition by performing any one of intra prediction or inter prediction; and generating a final prediction block for the current block through a weighted sum operation for the first prediction block and the second prediction block, wherein weights for the weighted sum operation may be determined on the basis of a lookup table.

A method for decoding an image includes that: in case to derive a first prediction and a second prediction corresponding to a coding block, a partition type of the coding block is determined; first motion information regarding the first prediction of the coding block and second motion information regarding the second prediction of the coding block are derived; and a prediction sample of the coding block on the basis of the first motion information and the second motion information is acquired.

To provide a coding and decoding method which improves the performance of a coding tool.SOLUTION: Video signal coding and decoding functions generate a list of potential candidates, e.g., predictors which are used for coding and decoding. Video signal coding component candidates are operated prior to potential registration in the candidate list. The candidates are changed by the operation and then checked in order to confirm the other equal candidate has already existed in the candidate list. In a case where no equal candidate exists in the list, the changed candidate is added to the candidate list. In a case where an equal candidate has already existed in the list, the changed candidate is not added to the list. The operation to be performed includes rounding and clipping.SELECTED DRAWING: Figure 11

The application discloses a kind of multilayer multi-frequency radial stripe encoding and decoding method and device, to solve the technical problems that the existing stripe encoding and decoding mostly uses traditional single direction modulation stripe encoding and decoding technology to cause high projection cost.The method comprises obtaining stripe image basic parameters and preset frequency range, and generating multi-frequency stripe geometric parameters.After constructing stripe encoding pattern based on preset radius and angle conditions, signal encoding and phase shift zero point signal are extracted respectively, and the main pattern is calibrated to zero using zero point signal.The processed pattern is projected to the measured object, and after collecting multiple stripe images, the target absolute phase is obtained according to the frequency decoding of each frequency band stripe.Finally, three-dimensional information is output through depth phase mapping model.

A front-end synchronous control method for cooperative detection of multi-base phased array radars comprises the steps that hardware comprises an atomic clock, a Beidou / GPS receiving assembly and a clock source or a frequency synthesizer, it is ensured that the atomic clock and the Beidou / GPS receiving assembly are arranged outside each radar system of the same model, a reference clock source or a frequency synthesizer capable of being synchronized by the external atomic clock is arranged inside each radar system of the same model, and software is FPGA software. The method comprises the following five steps: taking a high-precision time source and a high-stability clock source as references; a time extrapolation processing module, a time comprehensive processing module, a time sequence awakening / silence module, a time sequence generating and issuing module and a control signal coding and issuing module which run FPGA software in the time sequence generating equipment comprehensively process and generate synchronous time sequence square wave signals and time sequence serial control signals; the synchronization of front-end clocks or excitation signals of a plurality of radar array surfaces and the synchronization of time sequence transmitting and receiving signals are realized, so that all simulation T / R assemblies of a plurality of radars of the same model are in a synchronous transmitting and receiving state, and the front-end synchronization target of cooperative detection is achieved.

The invention discloses a weather prediction model based on dual-stage feedback. The weather prediction model comprises the following steps: setting two gating TCN links at the input end of an encoder; the outputs of the two gated TCN links on the encoder side are fused and then are used as the input of a neural network in the encoder; the output of the neural network in the encoder is respectively used as the input of the CNN convolution in the encoder and the doorway signal of the doorway unit at the side of the encoder; the output of the CNN convolution in the encoder is used as the input of the DCNN in the decoder; the output of the DCNN in the decoder is used as the input of a neural network in the decoder; two gating TCN links are arranged at the output end of the neural network in the decoder; and the outputs of the two gating TCN links on the decoder side are fused and then are respectively used as the output of the decoder side and a doorway signal of the doorway unit on the encoder side. According to the invention, the ability of time sequence prediction to understand different types of features of time sequence signals is improved; and the complex time sequence relation and the capability and stability of multi-step prediction precision are improved.

To provide a video signal encoding / decoding method and a device that improve inter-prediction efficiency by dividing an encoded block that improve inter prediction efficiency into a plurality of prediction blocks and deriving motion information for each prediction block from among a plurality of predictions.SOLUTION: A decryption method includes the steps of dividing a coded block into a first prediction unit PU1 and a second prediction unit PU2, deriving a merging candidate list of the coded blocks, deriving first motion information of a first prediction unit and second motion information of a second prediction unit using the merge candidate list, and obtaining predicted samples in the encoded block on the basis of the first motion information and the second motion information.SELECTED DRAWING: Figure 23

Disclosed is an audio signal encoding / decoding method that uses an encoding downmix strategy applied at an encoder that is different than a decoding re-mix / upmix strategy applied at a decoder. Based on the type of downmix coding scheme, the method comprises: computing input downmixing gains to be applied to the input audio signal to construct a primary downmix channel; determining downmix scaling gains to scale the primary downmix channel; generating prediction gains based on the input audio signal, the input downmixing gains and the downmix scaling gains; determining residual channel(s) from the side channels by using the primary downmix channel and the prediction gains to generate side channel predictions and subtracting the side channel predictions from the side channels; determining decorrelation gains based on energy in the residual channels; encoding the primary downmix channel, the residual channel(s), the prediction gains and the decorrelation gains; and sending the bitstream to a decoder.

The application discloses a fan fault diagnosis method fusing graph domain coding and a residual neural network, and belongs to the technical field of fan fault diagnosis. The method comprises the following steps: collecting vibration signals of a fan under multiple states; dividing each vibration signal into multiple one-dimensional time domain sub-signals; coding each one-dimensional time domain sub-signal into a two-dimensional graph domain by using a fine recursive graph to reflect unique internal structural features of the signal; proportionally dividing graph domain features into a training set and a test set; learning a nonlinear relationship between graph domain textures and faults from the training set by using a residual neural network, and then constructing an intelligent fault diagnosis model; and then inputting the test set into the trained residual neural network to complete fault diagnosis of the fan. The application can accurately identify the fan fault type, provides a strong basis for operation and maintenance of the fan, and ensures reliable and stable operation of the wind turbine generator.

A multi-channel audio signal encoding method includes: obtaining a to-be-encoded first audio frame; obtaining a correlation value set, where the correlation value set includes respective correlation values of a plurality of channel pairs; selecting M correlation values from the correlation value set, where all the M correlation values are greater than correlation values other than the M correlation values in the correlation value set, and all the M correlation values are greater than or equal to a pairing threshold; obtaining M channel pair sets; determining a target channel pair set from the M channel pair sets, where a sum of correlation values of all channel pairs in the target channel pair set is the largest in those of the M channel pair sets; and encoding the first audio frame based on the target channel pair set.

The present disclosure provides a decoder configured to receive a finite bitrate stream that includes a quantized latent frame, where the quantized latent frame includes a quantized representation of a current frame of a signal in a latent domain different from a first domain; to generate a reconstructed latent frame from the quantized latent frame; to use a generative neural network model to perform a task for which the general neural network model has been trained, wherein the task includes to generate parameters for an invertible mapping from the latent domain to the first domain; to reconstruct a current frame of the signal in the first domain, which includes to map the reconstructed latent frame to the first domain by use of the invertible mapping, and to use the reconstructed current frame of the signal in the first domain to update a state of the generative neural network model.

The application discloses a morphological gradual change region replacement method based on SAM semantic segmentation and user guidance, relates to the technical field of computer vision and image processing, and comprises the following steps: performing semantic segmentation on a to-be-processed image through a SAM model, extracting multi-level semantic features and performing standardization and dimension reduction, extracting causal factors based on independent component analysis, generating a directed causal factor correlation graph through Granger causality test, and generating a causal attribution probability graph through reverse mapping; constructing a structured causal graph, generating a causal mask through a graph convolution network; encoding original interaction signals into a guidance heat map; constructing a diffusion equation, forming a gradual change control equation by dynamically fusing the intensity distribution of the guidance heat map and an image semantic diffusion term, and iteratively solving the gradual change control equation; generating an anisotropic morphological operation kernel according to the geometric curvature characteristics of each region in the replacement mask; and fusing the optimized replacement mask and target content based on a gradient domain optimization algorithm to generate a gradual change replacement image.