202 results about "Signal coding" patented technology

The invention discloses a crown block positioning control method and related equipment, and relates to the technical field of industrial automation control, and the method comprises the steps: obtaining multi-source sensing data of a target crown block; carrying out fusion processing on the ultra-wideband positioning signal, the encoder displacement increment and the inertial measurement unit data based on a robust Kalman filtering algorithm to obtain a first positioning result; performing point cloud registration processing on the laser radar scanning data to obtain a second positioning result; determining a pose offset compensation amount through a preset kinetic model; and controlling the target crown block according to the first positioning result, the second positioning result and the pose offset compensation amount. Through the multi-sensor fusion and dynamic compensation technology, high-precision and anti-interference crown block positioning and control suitable for complex working conditions can be achieved.

The invention discloses an LLM-based scheduling management system, which belongs to the field of industrial and commercial enterprise scheduling management systems, adopts a data acquisition technology driven by bio-electricity signals, enriches data acquisition forms, can acquire various bio-electricity signals such as electroencephalogram, electrocardio, myoelectricity and the like, and improves the scheduling efficiency. And through a multi-channel parallel data transmission architecture and an advanced signal coding technology, the accuracy and stability of data transmission are ensured, key data in a human physiological state or a special environment are reflected, and some application scenes with relatively high requirements on data comprehensiveness and accuracy are met. The LLM-based scheduling module generates an optimal scheduling scheme by means of the powerful analysis and reasoning capability of a large language model in combination with a genetic algorithm and a simulated annealing algorithm, quantitative evaluation is carried out through a multi-objective optimization algorithm, various complex constraint conditions can be fully considered, and efficient scheduling is realized.

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.

The invention discloses a material grain size distribution deep learning prediction method based on multi-mode space signal coding, which comprises the following steps: firstly, collecting ultrasonic characteristic signals based on a pulse echo method, collecting space distribution signals as a single-point grain characterization characteristic set by using elliptical distribution by taking a collection point as a center, preprocessing the collection signals to extract characteristics, and carrying out multi-mode space signal coding; feature compression extraction is carried out through a detection model by using a compressed sensing network, material grain size distribution and detection point material thickness are predicted by using a full-connection network, and finally a mean value and a variance of grain size distribution are obtained through comprehensive calculation of detection point prediction results in an elliptical region by using a space fusion method. According to the method, high-precision prediction and high-efficiency calculation of grain size distribution of the metal material are realized, an intermediate network of model training is expected to be used for transfer learning of characterization tasks of other materials, and many problems of a traditional method and an existing data driving method in the aspect of grain size measurement are solved.

An image decoding method is provided, which comprises: generating a merge candidate list of a current block; specifying any one of a plurality of merge candidates included in the merge candidate list; on the basis of a first affine seed vector and a second affine seed vector of the specified merge candidate, inducing a first affine seed vector and a second affine seed vector of the current block; using the first affine seed vector and the second affine seed vector of the current block, inducing an affine vector regarding a sub-block in the current block; and on the basis of the affine vector, performing motion compensation prediction regarding the sub-block.

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.

A method for decoding an image according to the present invention may comprise the steps of: deriving a residual coefficient of a current block; dequantizing the residual coefficient; deriving a common residual signal by performing inverse transform of the dequantized residual coefficient; and deriving a first residual signal of a first chroma component and a second residual signal of a second chroma component on the basis of the common residual signal.

An image decoding method according to the present invention includes: a step for determining a reference sample line of a current block; a step for determining whether candidate intra-predition modes identical to the intra-prediction mode of the current block exist; a step for deriving the intra-prediction mode of the current block on the basis of the determination; and a step for performing intra-prediction on the current block on the basis of the reference sample line and the intra-prediction mode. Here, at least one of the candidate intra prediction modes may be derived by adding or subtracting an offset to or from the maximum value among the intra-prediction mode of a neighboring block that is above the current block and the intra-prediction mode of a neighboring block that is to the left of the current block.

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.

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 present application provides methods for detecting a nucleic acid molecule involving the use of a signal code sequence which corresponds to said nucleic acid molecule and a plurality of labelled detection probes which yield signals which make up the signal code sequence. In particular, the invention provides a sequential barcoding and decoding scheme which utilises a sequencing-by-hybridisation (SBH) strategy to sequence and decode a nucleotide barcode sequence, and to differentiate the nucleotide barcode sequence from other nucleotide barcode sequences. In an extension of the method, the application also provides a new coding scheme for providing a target nucleic acid with a detectable “colour” (or similar signal)-based code.

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.

Computer processor hardware receives a first set of adjustment values. The first set of adjustment values specify adjustments to be made to a predicted rendition of a signal generated at a first level of quality to reconstruct a rendition of the signal at the first level of quality. The computer processor hardware processes the first set of adjustment values and derives a second set of adjustment values based on the first set of adjustment values and a rendition of the signal at a second level of quality. The second level of quality is lower than the first level of quality.

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 achieves detection of non-cooperative aerial targets such as low, small, and slow aircraft by adding echo detection capabilities for the 1030MHz C / S mode interrogation signal and the 1090MHz C / S / ES mode reply signal. It also eliminates false ADS-B targets by integrating and judging the track information of non-cooperative targets, ADS-B track information, and TCAS track information. The solution uses software-defined radio technology to implement signal coding and modulation, frequency sorting, and signal analysis, achieving an integrated detection and identification design without significantly increasing the size, weight, or power consumption of existing hardware. This not only integrates and shares hardware resources, improving hardware utilization, but also allows for deep complementarity and fusion of detection and communication information, enabling efficient information exchange and significantly improving the system's cost-effectiveness. It also addresses the detection and identification of non-cooperative targets such as low, small, and slow aircraft and false ADS-B targets.

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.