2651 results about "Codebook" patented technology

A method is provided for mapping the latent space of a Vector Quantized Variational AutoEncoder (VQ-VAE) to polynomial basis vectors. The method includes training a VQ-VAE model on a dataset to obtain a set of codebook vectors representing the latent space; defining a polynomial basis for the latent space, the polynomial basis containing terms up to a predetermined order; mapping each codebook vector to the polynomial basis by determining polynomial coefficients that represent each codebook vector in terms of the polynomial basis; and using the polynomial coefficients to reconstruct and manipulate latent space representations.

A system for adaptively caching network communication protocols provides improved efficiency and performance through a multi-level cache architecture. The system monitors performance metrics and synchronizes cache contents across distributed nodes using a hierarchical structure. Protocol cache requirements are predicted based on usage patterns, enabling proactive cache management. The system compresses cached protocols using existing codebooks to optimize storage and transmission efficiency. Integration with event-driven data communication systems enables seamless protocol selection and translation. The caching system works in conjunction with transaction managers and protocol predictors to enhance network communication performance. The system maintains cache coherency across local, regional, and global cache levels while minimizing network overhead and optimizing protocol availability. By predicting and pre-caching likely needed protocols, the system reduces protocol negotiation latency and improves overall network communication efficiency.

According to some embodiments, a method performed by a wireless device comprises obtaining a sounding reference signal (SRS) resource configuration for 6 or 8 SRS ports and transmitting SRS according to the SRS resource configuration. In particular embodiments, the SRS resource configuration comprises an SRS resource for 6 or 8 SRS ports wherein the SRS resource is divided into at least two subsets, wherein each subset is associated with a different comb offset. In particular embodiments, the SRS resource configuration comprises two SRS resources. Each SRS resource supports up to 4 SRS ports. Transmitting SRS according to the SRS configuration comprises transmitting SRS using an 8 port codebook.

The invention relates to the technical field of speech synthesis, can be applied to business scenes such as financial science and technology, medical health and the like, and discloses a speech generation method, device, equipment and medium. And inputting a text speech language model to generate an intermediate code in combination with a speech code extracted based on a codebook generation mode, extracting a speaker feature vector in the prompt speech, decoding the intermediate code and the speaker feature vector by a generative adversarial decoder, and outputting a target speech. According to the method, fine-grained text representation is established by fusing character semantics and pinyin pronunciation information, and voice cloning is completed through unified voice language modeling and an adversarial generation mechanism in combination with codebook-driven acoustic coding and speaker personality characteristics, so that the naturalness, similarity and pronunciation accuracy of generated voices are improved.

The invention discloses a semantic communication method based on a semantic perception mask and a vector quantization codebook, and belongs to the technical field of wireless communication. Specifically, the invention provides a semantic perception compression strategy, semantic perception masking is performed on an input image according to the semantic importance size represented by the attention vector of the last self-attention layer of an image encoder of a CLIP model, image blocks with relatively low semantic importance can be selectively masked instead of random masking, and therefore, the semantic perception compression strategy can be applied to image processing. Therefore, the semantic information learning capability of the model is enhanced, and the training efficiency is improved. In addition, an improved robust vector quantization codebook shared at a transmitting end and a receiving end is designed. According to the codebook, coding features are represented by orthogonal and trainable base vector indexes in transmission, so that the robustness of a system is enhanced, and the transmission data volume is reduced. According to the method provided by the invention, the semantic information processing efficiency can be remarkably improved, and better performance is shown under the challenging low signal-to-noise ratio condition.

A system and method for accelerating applications in closed networks through intelligent compression and routing. The system includes a flow analysis system that classifies network traffic as latency-critical or bandwidth-critical, enabling optimized handling of different flow types. Latency-critical flows are transmitted directly to minimize delay, while bandwidth-critical flows undergo compression using dynamically selected methods including Huffman, alphabetic, and Tunstall coding. The system maintains synchronized codebooks across network nodes while enabling node-specific optimizations based on local traffic patterns. A network topology manager maintains comprehensive network state awareness, enabling intelligent route selection based on flow classification and current conditions. The system continuously monitors performance and adapts compression and routing strategies in real-time. This approach enables significant performance improvements in closed network environments where all compression-accelerated applications are developed by the same team.

A neural network audio codec system and related methods are provided. In one example, a method is provided comprising: obtaining speech audio to be encoded; applying the speech audio to an audio encoder that is part of a neural network audio codec system that includes the audio encoder and an audio decoder. The audio encoder and the audio decoder have been trained in an end-to-end manner. The speech audio is encoded with the audio encoder to generate embedding vectors that represent a snapshot of speech audio attributes over successive timeframes of the raw speech audio, and from the embedding vectors, codeword indices are generated to entries in a codebook. The codeword indices are then transmitted or stored for later retrieval and processing by the audio decoder. Further aspects include converting the speech audio to text based on decoding the codeword indices, translating the speech audio from a first language into a second language by mapping codeword indices from a first language to a second language, converting the speech audio prosody by mapping the codeword indices, text generation and discrimination tasks.Yet another aspect includes converting text to speech audio with a different prosody.

A neural network audio codec system and related methods are provided. In one example, a method is provided comprising: obtaining speech audio to be encoded; applying the speech audio to an audio encoder that is part of a neural network audio codec system that includes the audio encoder and an audio decoder. The audio encoder and the audio decoder have been trained in an end-to-end manner. The speech audio is encoded with the audio encoder to generate embedding vectors that represent a snapshot of speech audio attributes over successive timeframes of the raw speech audio, and from the embedding vectors, codeword indices are generated to entries in a codebook. The codeword indices are then transmitted or stored for later retrieval and processing by the audio decoder.

The invention discloses a reconfigurable intelligent metasurface beam tracking device, and belongs to the technical field of wireless communication. Specifically, the reconfigurable intelligent metasurface module integrates a large number of metasurface units, a tunable element is embedded to achieve reconfiguration of electromagnetic characteristics, a receiving end of the communication receiving and transmitting module receives reflected signals of the metasurfaces and feeds back the quality of the received signals in the moving process, and the positioning sensing module senses the position of the receiving end in real time. And the codebook calculation module calculates a phase regulation codebook based on the signal quality and the position feedback information, converts the phase regulation codebook into a control voltage value, transmits a corresponding digital control signal to the voltage regulation module, and outputs multiple paths of analog voltages, so that the reflection coefficient of the metasurface array is regulated and controlled, and real-time dynamic wave beam tracking is realized. According to the invention, the coverage range, the transmission rate and the service quality of the communication network are obviously improved.

Apparatuses, methods, and systems are disclosed for configuring a codebook corresponding to TPMI. One method includes receiving a codebook configuration from a network. The codebook configuration corresponds to an enhanced UL codebook-based transmission, the codebook corresponds to a TPMI, the TPMI corresponds to uplink transmission, and the TPMI corresponds to at least one layer. The method includes transmitting a set of SRSs. The method includes receiving the TPMI via a DCI for scheduling a PUSCH transmission. The DCI is received on a PDCCH, a PDSCH, or a combination thereof, and the DCI is decomposed into a first stage DCI and a second stage DCI. The method includes receiving a subset of codebook parameters corresponding to the TPMI in a second stage DCI. The second stage DCI is received in the PDCCH, the PDSCH, or a combination thereof.

The invention provides an audio watermark generation method, audio watermark generation equipment and a computer storage medium. The audio watermark generation method comprises the following steps: acquiring target audio data; extracting amplitude spectrum features and phase spectrum features of the target audio data; acquiring watermark adding frame information of the amplitude spectrum features; selecting one watermark information code from a watermark codebook library, and performing frame-level copying according to the frame number of the amplitude spectrum characteristics to obtain first watermark data; performing frame selection on the first watermark data according to the watermark adding frame information to obtain second watermark data; fusing the amplitude spectrum feature with the second watermark data to obtain a watermark amplitude spectrum feature; and fusing the watermark amplitude spectrum feature and the phase spectrum feature to obtain watermark audio data. According to the audio watermark generation method, the watermark adding selector is designed, the frame number and the frame number needing to be added with the watermark are selected through the frame selection logic, and it is guaranteed that after the audio watermark is generated, the audio listening feeling is not affected.

A system and method for real-time time series forecasting using a compound large codeword model with integrated supervisory neurons. The system processes diverse inputs through adaptive codebook generation and codeword allocation. A projection network fuses different data types, creating unified representations for a latent transformer-based machine learning core. The core contains local neural network regions of interconnected operational neurons, monitored by supervisory neurons. These supervisory neurons receive activation data from operational neurons, perform real-time statistical analysis, determine necessary structural modifications, and initiate their implementation during operation. This architecture enables efficient handling of multi-modal data, capturing complex relationships between different input types. The combination of adaptive codebook generation and the supervisory neuron system ensures responsiveness to evolving data patterns and task requirements. This approach provides more accurate and timely forecasts by leveraging diverse data types in a sophisticated, integrated manner, while continuously adapting its structure to maintain optimal performance.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products directed, in part, to WTRU-specific codebooks generated based on channel state information (CSI) measurements and channel and / or transmission details, parameters and / or requirements. As an example, a WTRU may receive information indicating any of metrics and requirements for configuring a codebook; generate a codebook, comprising first parameters, based on the metrics and CSI related measurements associated with at least a first set of subbands, wherein the first parameters comprise a cluster of subbands having a CSI correlation satisfying a threshold and comprising at least one subband from any of the first set of subbands and a second set of subbands that is based on the first set of subbands; and transmit feedback information associated with CSI, the feedback information indicating at least some of the first parameters and second parameters associated with the at least some of the first parameters.

The invention relates to the technical field of picture generation, in particular to a picture generation method based on multi-scale features. The method comprises the following steps: firstly, collecting medical images, patient data and lesion stage information under different equipment and acquisition parameters, after screening preprocessing, constructing and training a multi-scale VQ-VAE model, introducing an attention mechanism, and adopting adaptive codebook updating and multi-codebook fusion quantification; then, a hierarchical autoregression model based on a Transform decoder is constructed and trained, and lesion stage information is fused into the hierarchical autoregression model; and finally, inputting specific lesion stage information, generating a multi-scale discrete index sequence through a hierarchical autoregression model, converting the multi-scale discrete index sequence into a codeword vector through a multi-scale VQ-VAE model, and finally generating a simulated medical image. According to the scheme, the multi-scale VQ-VAE model is utilized to encode the input image into the multi-scale discrete feature representation, and meanwhile, the autoregression model is applied to the discrete hidden space of the VQ-VAE, so that the distribution of the discrete representation sequence can be effectively modeled, and the medical image with higher quality and more realistic sense can be generated.

Vector-scaled hierarchical codebook quantization reduces precision (bitwidth) vectors of parameters and may enable energy-efficient acceleration of deep neural networks. A vector (block array) comprises one or more parameters within a single dimension of a multi-dimensional tensor (or kernel). For example, block array comprises 4 sub-vectors (blocks) and each sub-vector comprises 8 parameters. The parameters may be represented in integer, floating-point, or any other suitable format. A vector cluster quantization technique is used to quantize blocks of parameters in real-time. Hardware circuitry within a datapath identifies an optimal codebook of a plurality of codebooks for quantizing each block of parameters and the block is encoded using the identified codebook. During processing, the identified codebook is used to obtain the quantized parameter and perform computations at the reduced precision.

The present disclosure is generally related to wireless communications technologies, network topologies, and communication device implementations, and in particular, to multipletransmission reception point (multi-TRP) uplink (UL) transmission schemes. The multi-TRP UL transmission schemes include timing advance (TA) associations for multi-TRP operation, channel state information (CSI) enhancements, and codebook structural enhancements. To enhance the performance of Rel-16 codebook, a new codebook structure is constructed by preserving the Rel-16 codebook structure in the spatial dimension (SD) and frequency dimension (FD) while extending the Rel-16 codebook in the time dimension (TD) using a mutually orthogonal Discrete Fourier Transform (DFT) basis.

A terminal according to one aspect of the present disclosure includes a control section that determines a precoder, based on a codebook for transmission using more than four antenna ports, when a codebook subset indicating “non coherent” or “partial coherent” is configured, and a transmitting section that performs uplink full power transmission, based on the precoder. According to one aspect of the present disclosure, UL full power transmission using more than four antenna ports can be appropriately controlled.

The invention discloses a dynamic beam adaptive optimization method for the Internet of Vehicles, and the method comprises the steps: firstly obtaining the current position, speed and driving direction of a vehicle, and carrying out the prediction of a future trajectory through combining historical trajectory information and employing a Kalman filtering technology and the like; and selecting a candidate beam direction from the predefined beam codebook. The system receives channel quality feedback information of a communication link in real time, and dynamically updates a beam forming weight based on an improved recursive least square algorithm. According to the algorithm, a composite adaptive adjustment mechanism of an error size and an error change trend is introduced, a multi-objective optimization function is constructed, and performance indexes such as link quality maximization, interference power minimization and beam switching frequency minimization are effectively balanced in a dynamic environment, so that an optimal beam direction is obtained. Finally, the real-time switching of the antenna array beams is realized through a low-overhead and low-delay control protocol. According to the method, track perception and a self-adaptive feedback mechanism are fused, and good real-time performance, stability and expandability are achieved.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a visual token generation method, device, equipment and medium based on a shared index, and the method comprises the steps: obtaining an input image, and extracting semantic features and pixel features through a semantic encoder and a pixel encoder; calculating the distance between each feature and a codebook thereof, and carrying out weighted summation to determine a shared index; retrieving quantitative features from the codebook using a shared index; respectively generating a reconstructed image and a reconstructed semantic feature by using a pixel decoder and a semantic decoder; jointly optimizing an encoder, a codebook and a decoder based on a reconstruction result; and generating a unified visual token sequence for the target task image by using the optimized component. Through double-flow feature extraction, shared mapping quantization and joint loss optimization, global semantic information and local pixel details can be reserved in the visual token at the same time, so that the model has accurate understanding ability, high-fidelity images can be generated, and the performance of understanding and generating tasks is improved.

A precoder index is derived from a precoder codebook using a low computationally complex process. A plurality of uplink channel matrix estimates are received at a Base Station (BS) from a User Equipment (UE). The plurality of uplink channel matrix estimates are processed to determine an indicator of the precoder having a highest spectral efficiency estimate. The indicator of the precoder having the highest spectral efficiency estimate is selected for transmission by the BS.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may receive, from a network entity, a configuration of a codebook associated with a reconfigurable intelligent surface (RIS) pattern. The network node may receive, from the network entity, an indication of a codeword in the codebook that is potentially associated with RIS element failure based at least in part on one or more RIS attributes. The network node may perform an RIS failure mitigation based at least in part on the indication. Numerous other aspects are described.

A method and device for transmitting or receiving improved codebook-based channel state information in a wireless communication system are disclosed. A method performed by a terminal in a wireless communication system, according to one embodiment of the present disclosure, comprises the steps of: receiving one or more channel state information (CSI)-reference signals (RS) from a network; and transmitting, to the network, one or more CSI reports including information indicating a first precoding matrix based on the one or more CSI-RSs and a channel quality indicator (CQI) based on a second precoding matrix, wherein the first precoding matrix is included in a set of precoding matrices defined on the basis of one or more predetermined codebooks, and the second precoding matrix can be determined on the basis of the first precoding matrix and one or more pieces of artificial intelligence (AI) / machine learning (ML) model-related information.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, an indication of an uplink resource associated with reporting channel state information (CSI). The UE may transmit, to the network node and using the uplink resource, uplink control information (UCI) including a CSI report that indicates precoding matrix indicator (PMI) values, based at least in part on prioritizing groups of information associated with the CSI report, at least one group, of the groups, being associated with time domain basis index values and non-zero coefficients of a coefficient matrix of a codebook associated with the CSI report. Numerous other aspects are provided.

The invention discloses an audio data compression method and device, electronic equipment and a storage medium, relates to the technical field of voice processing, can be applied to financial science and technology and medical health business scenarios, and comprises the following steps: obtaining target audio data to be compressed; and inputting the target audio data into an audio coding and decoding quantization compression model to obtain a reconstructed audio signal corresponding to the target audio data, the audio coding and decoding quantization compression model being obtained through audio adversarial training. In the model, feature extraction and compression can be performed on target audio data by using a hierarchical neural network of an encoder to obtain a low-dimensional potential feature vector; a residual vector quantization module performs discrete quantization processing on the low-dimensional potential feature vector through a multi-layer cascaded codebook to obtain a discrete quantization code; and performing audio waveform reduction processing on the discrete quantization code by using a decoder to obtain a reconstructed audio signal corresponding to the target audio data. According to the invention, audio high-fidelity compression can be realized, and audio reconstruction tone quality is improved.

A terminal according to one aspect of the present disclosure includes: a receiving section that receives, when the terminal includes eight antenna ports, downlink control information (DCI) including a plurality of fields of at least one of a precoding information and number of layers field and a transmission precoding matrix indicator (TPMI) field for codebook-based physical uplink shared channel (PUSCH) transmission; and a control section that controls uplink transmission, based on the DCI. According to one aspect of the present disclosure, UL transmission using more than four antenna ports can be appropriately controlled.

A method of a terminal performing codebook-based PUSCH transmission may comprise: receiving, from a base station, configuration information of an SRS resource set; receiving downlink reference signals from the base station through a spatial filter corresponding to the SRS resource set, and obtaining downlink channel values based on the received downlink reference signal; determining an SRS precoding matrix based on the downlink channel values, and transmitting, to the base station, an SRS to which the SRS precoding matrix is applied; receiving, from the base station, an SRI and precoding information determined based on the SRS; and determining a PUSCH precoding matrix based on SRS resource(s) indicated by the SRI and the precoding information, and transmitting, to the base station, a PUSCH to which the PUSCH precoding matrix is applied.

Codebook-based precoding determination methods and apparatuses, and a device and a storage medium, which relate to the field of mobile communications. A codebook-based precoding determination method comprises: according to determined channel information corresponding to each channel status information (CSI)-RS resource, and codebook parameter information, a terminal sending CSI to a network device, wherein the CSI comprises indication information corresponding to a plurality of CSI-RS resources and indication information corresponding to each CSI-RS resource, or indication information corresponding to a plurality of port groups in one CSI-RS resource and indication information corresponding to each port group, and the CSI is used for determining precoding for the terminal on the basis vector of a codebook structure corresponding to the codebook parameter information.

Methods and apparatuses for PT-RS enhancement are disclosed. In one embodiment, a UE comprises a transceiver; and a processor coupled to the transceiver, wherein the processor is configured to receive, via the transceiver, a configuration to transmit 2 or 4 PT-RS ports when 4 antenna ports codebook based PUSCH transmission is configured; and determine the mapping between PUSCH antenna ports and the PT-RS ports.

For an O-RAN system, supported hybrid beamforming configurations are indicated based on a number of analog ports, a number of digital ports, a number of analog ports per transceiver, and supported codebooks. A hybrid beamforming configuration to be employed includes control bit vectors for phase-shifters, each control bit vector mapped to a phase value, an in-phase (I) value and a quadrature (Q) value. The hybrid beamforming configuration may include analog and digital beamforming parameters applicable to frequency bands or subbands or joint phase-time array parameters.

The invention relates to the technical field of microwave communication, and discloses a microwave communication data transmission method, which comprises the following steps: S1, sensing real-time rainfall intensity and atmospheric turbulence intensity parameters through combination of a multi-band radar and a meteorological sensor; s2, establishing a fractional order random channel model of a rainfall and turbulence coupling effect; s3, generating a dynamic coded modulation control strategy based on deep fractional order reinforcement learning; s4, optimizing a programmable metasurface reflection coefficient matrix according to the dynamic coded modulation control strategy and a channel state to reconstruct an electromagnetic propagation path; s5, executing power-codebook joint optimization of space-time coding and non-orthogonal multiple access; and S6, the system stability is monitored on line, and a degradation fault-tolerant mechanism is triggered. According to the invention, a Ku / W dual-band radar and meteorological sensor variational Kalman fusion technical scheme is adopted, and compared with a single-band radar or sparse meteorological station isolated observation scheme in the prior art, the problem of signal sudden drop misjudgment in a rainstorm scene is solved.