52 results about "Bit allocation" patented technology

The invention relates to the technical field of speech recognition, and discloses a real-time speech recognition method based on a Bluetooth audio stream, which comprises the following steps: analyzing bit allocation parameters to calculate quantized bit distribution and generate a frequency domain confidence mask, monitoring a packet loss concealment state flag bit of a decoder, forcibly setting the mask as a blocking threshold when an algorithm is activated, and generating a real-time speech recognition result. According to the method, a cross-level feature purification mechanism based on protocol priori and link states is constructed, acoustic model illusion caused by forged waveforms is blocked through targeted arbitration while deterministic quantization noise is eliminated, and the acoustic model recognition accuracy is improved. And the identification accuracy under a severe channel is ensured.

A zero-delay panoramic video bit rate control method that considers distortion temporal propagation aims to optimize target bit allocation and achieve global rate-distortion optimization in coding. It encompasses coding tree unit (CTU)-level bit rate control and temporal global rate-distortion optimization. CTU-level bit rate control involves optimizing target bit allocation and updating bit rate control parameters. Temporal global rate-distortion optimization utilizes the reconstruction error and motion compensation prediction error information of the previous coded frame to estimate the temporal dependence between CTUs in the current coding frame and those in the previous coded frame to adjust the coding parameters of the current CTU. The coding parameters are further fine-tuned according to the area stretching ratio encountered during the projection of the panoramic video from a 3D spherical surface to a 2D plane, taking into consideration the detrimental impact of interpolated redundant pixels on the coding process.

The invention relates to the technical field of artificial intelligence and automatic driving, and discloses a space-time constraint end-to-end automatic driving system and method based on a unified VLA model, and the system comprises a unified encoder, a computing power management unit, a core neural network and an output decoder. A gating operator embedded into a core neural network is used for calculating characteristic information entropy and computing power consumption in real time, and through topology reconstruction logic based on entropy and computing power joint constraint, computational graph collapse operation is dynamically triggered at an instruction level, so that network reasoning depth is adaptively expanded along with physical time constraint, and the network reasoning accuracy is improved. According to the method, isomorphic mapping of the topological structure of the calculation model and the physical time constraint is established, the deterministic delay upper limit under the extreme working condition is determined, the problem of dimension mismatching of an existing static calculation graph under the hard real-time constraint is solved, and optimal bit allocation of calculation resources in the time dimension is achieved.

The invention discloses a high-definition video low-delay compression method based on self-adaptive adjustment, and aims to solve the problems of insufficient self-adaptive adjustment capability, too high encoding and decoding delay and low code rate and network bandwidth matching degree in the existing high-definition video compression technology. The method comprises the following steps: firstly, acquiring a high-definition video stream and a real-time network bandwidth parameter, extracting intra-frame texture complexity, inter-frame motion intensity and scene switching frequency characteristics, and constructing a two-dimensional adaptive compression strategy in combination with a real-time bandwidth; low-delay coding is executed by adopting parallel frame fragmentation and simplified adaptive arithmetic coding, adaptive code rate control is realized by combining code rate overflow early warning and intra-frame key region priority bit allocation, and finally, fast inverse transformation, quantization recovery and motion compensation optimization are completed at a decoding end based on strategy parameters synchronously transmitted at a coding end so as to reconstruct a high-definition video frame. According to the invention, the adaptive adjustment capability of video compression is improved, low time delay of coding and decoding is realized, and the method is suitable for real-time high-definition video transmission scenes such as remote monitoring and video conferences.

Methods, systems, and devices for wireless communications are described. In some examples, a device may compute the coding rate associated with each coding level of coded modulation scheme based on one or more channel conditions of a wireless channel. The device may allocate multiple information bits among multiple coding schemes associated with a multi-level coding scheme. The quantity of information bits allocated to each coding scheme may be based on the coding rates associated with one or more coding levels corresponding to the coding scheme. The device may encode an information payload using the multiple coding schemes in accordance with the allocation of the multiple information bits. The device may transmit the encoded information payload via the wireless channel. The receiving device may compute the coding rate associated with each coding level of the multi-level coding scheme and allocate the information bits accordingly. The receiving device may decode the payload.

This invention discloses a method for UAV communication and synchronization control based on a multi-timescale dual-channel architecture, comprising the following steps: S1, establishing a nonlinear singular perturbation system model for each UAV node; S2, configuring dual channels for each UAV node; S3, selecting to transmit either the original measurement value or the differential value; S4, generating quantized symbols and transmitting them to a remote controller via the corresponding channel; S5, decoding the received quantized symbols to obtain the reconstructed measurement value; S6, solving for the controller gain that meets stability requirements; S7, designing a controller based on the reconstructed measurement value and the controller gain, generating control inputs, and applying them to the UAV nodes to achieve high-precision synchronization control of the UAV system network nodes. This invention achieves high-precision synchronization control of UAV system network nodes and ensures system stability under conditions of limited total bit rate through dual-channel event-triggered differential transmission and dynamic bit allocation.

The application relates to the technical field of signal processing, in particular to a bit allocation method, device and equipment for bit pool optimization of an encoder. The method comprises the following steps: obtaining basic information of an input audio of the encoder; determining a current encoding mode of the encoder according to the basic information; if the current encoding mode is a constant bit encoding mode, performing constant bit encoding according to a total number of frames in the basic information, and outputting a code stream subjected to the constant bit encoding; and if the current encoding mode is a dynamic bit encoding mode, performing dynamic bit encoding according to the total number of frames in the basic information, and outputting a code stream subjected to the dynamic bit encoding, wherein the dynamic bit encoding comprises dynamically adjusting a bit allocation strategy according to a window length of a current frame. Thus, the problem that a fixed bit encoding mode is adopted in a low code rate mode in the prior art, resource requirements of long window frames and short window frames cannot be met at the same time, and audio quality is poor is solved.

Embodiments of this application disclose a three-dimensional audio signal processing method and apparatus, to implement bit allocation of a signal. The method includes: performing spatial coding on a to-be-coded three-dimensional audio signal, to obtain a transmission channel signal and transmission channel attribute information, where the transmission channel signal includes at least one virtual speaker signal group and at least one residual signal group; and determining a bit allocation ratio of the virtual speaker signal group and a bit allocation ratio of the residual signal group based on the transmission channel attribute information.

The application discloses a high-definition video low-delay compression method based on adaptive adjustment, and aims to solve the problems of insufficient adaptive adjustment capability, high coding and decoding delay and low matching degree of code rate and network bandwidth in the prior high-definition video compression technology. First, high-definition video stream and real-time network bandwidth parameters are acquired, and features of intra-frame texture complexity, inter-frame motion intensity and scene switching frequency are extracted, and a double-dimension adaptive compression strategy is constructed in combination with real-time bandwidth; low-delay coding is executed by adopting parallel frame slicing and simplified adaptive arithmetic coding, adaptive code rate control is realized by combining code rate overflow early warning and intra-frame key area priority bit allocation, and finally, fast inverse transformation, quantization recovery and motion compensation optimization are completed based on the strategy parameters synchronously transmitted by the encoding end at the decoding end to reconstruct high-definition video frames. The application improves the adaptive adjustment capability of video compression, realizes low coding and decoding delay, and is suitable for real-time high-definition video transmission scenes such as remote monitoring and video conference.

An apparatus comprising means for: obtaining for a plurality of audio objects within an audio environment, respective audio signals and directional metadata values; obtaining at least one ratio parameter with respect to a respective audio object of the plurality of audio objects and with respect to a respective time element and a respective frequency element of a frame, the at least one ratio parameter configured to identify a distribution of the audio object within an object part of the total audio environment; obtaining a further ratio parameter associated with the distribution of the object part of the total audio environment; determining an object priority order based on the ratio parameter and the further ratio parameter; determining quantization bit allocations for the directional metadata values associated with the plurality of audio objects based on the determined object priority order, and quantizing the directional metadata values.

The application discloses a kind of OFDM-PON bits and power loading method based on layered modulation, belong to passive optical network field.The application includes: based on the signal-to-noise ratio between each branch optical network unit and optical line terminal in OFDM-PON, each optical network unit is grouped;Low-order quadrature phase modulation modulation format is used as base layer in the optical network unit group with low signal-to-noise ratio, high-order quadrature amplitude phase modulation-16 and quadrature amplitude phase modulation-64 modulation format are used as enhancement layer in the optical network unit group with high signal-to-noise ratio;The trough point of the frequency selective fading of each group optical network unit in OFDM-PON is calculated;According to bit allocation method, power allocation method is carried out for bit allocation and power allocation of base layer and enhancement layer.The application realizes the maximum utilization of flexible OFDM-PON in channel condition by simple and easy-to-implement algorithm, to realize the increase of overall OFDM-PON system capacity, satisfy future optical access network to the full use of channel power abundance.

This invention discloses a method for implementing bit allocation and quantization in audio compression, comprising the following steps: Step 1: Obtaining the audio signal, the perceptual importance of the audio signal, and the preset total target number of bits; Step 2: Based on the bit allocation vector corresponding to the minimum value of the calculated objective function, allocating bits to each frequency band of the audio signal, the sum of the bits allocated to each frequency band being the total target number of bits; Step 3: Feeding the audio signal and the bit allocation results for each frequency band into a residual vector quantization network for actual feature discretization, obtaining the quantized residual, thereby completing the quantization. This invention achieves adaptive bit allocation and quantization, thereby ensuring perceptually optimized encoding of audio and avoiding excessive differences in bit allocation between adjacent frequency bands that could lead to inter-band discontinuity artifacts in the reconstructed audio.

The method comprises: obtaining a mixed-format audio signal (S3101), the mixed-format audio signal comprising a plurality of channels; determining a first parameter of the mixed-format audio signal and / or an energy parameter of one or more channels of the plurality of channels (S3103); performing bit allocation on the plurality of channels according to the first parameter of the mixed-format audio signal and / or the energy parameter of the plurality of channels to obtain a bit allocation parameter (S3104); encoding the plurality of channels according to the bit allocation parameter to obtain a channel signal encoding parameter (S3105); and writing the bit allocation parameter and the channel signal encoding parameter into a bitstream (S3106). The method can solve the problem that a coding and decoding method in the prior art cannot reconstruct a desired and most suitable sound field.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a device may perform, using vector data, an amplitude quantization based at least in part on an initial amplitude observation. The device may calculate one or more phase quantization bits based at least in part on the amplitude quantization. The device may determine a first bit allocation for amplitude and phase, wherein the first bit allocation is an initial amplitude and phase bits allocation for different elements of the vector data. The device may iteratively modify the first bit allocation, to obtain a second bit allocation, based at least in part on an amplitude bits adjustment and quantization, wherein the second bit allocation is a final amplitude and phase bits allocation for the different elements of the vector data. Numerous other aspects are described.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may report quantized information using a threshold payload utilization. For example, the UE may perform precoding matrix indicator (PMI) or channel reporting quantization to fill a total overhead allocated for quantization. The UE may include, in a channel state information (CSI) report, sets of amplitude quantization bits and phase quantization bits for one or more PMIs, the channel reporting information, or both. A quantity of the amplitude quantization bits may be based on a quantity of non-zero amplitude coefficients for reporting and a quantity of quantization bits associated with amplitude quantization. A quantity of the phase quantization bits may be based on the total overhead and the quantity of the amplitude quantization bits (e.g., to fill the remaining resources of the allocated overhead with the phase quantization bits).The UE may transmit the resulting CSI report.

The invention discloses a video compression method and device, computer equipment and a storage medium, and the method at least comprises the steps: collecting video data, and carrying out the preprocessing to obtain a standard video sequence; performing framing processing and classifying video frames; performing multi-modal feature extraction to obtain feature data including spatio-temporal features, depth features and motion features, and generating an entropy value for quantifying video content complexity; determining a coding strategy for the video frame based on the video frame type and the entropy value, the coding strategy comprising a quantization parameter; and encoding according to the encoding strategy and outputting a compressed code stream. The method has the advantages that video frame classification and context management can be effectively realized on the basis of multi-modal features, local texture details and long-distance space-time dependence are considered, space-time features, depth features and motion features are effectively integrated to generate entropy representing content complexity, different coding and dynamic bit allocation strategies are realized on the basis of frame types and the entropy, and the coding efficiency is improved. And the balance between the compression efficiency and the complexity of video compression is ensured.

An image decoding method and device according to the present disclosure can receive a bitstream including an encoded video picture and reconstruct the encoded video picture included in the bitstream. Here, the bitstream can include bit depth range information. The bit depth range information can include at least one from among range number information indicating the number of ranges used for bit allocation of the original picture, a layer ID flag indicating whether layer ID information is included, and a picture division flag indicating whether partition type information is included.

This disclosure relates to information processing apparatuses and methods that can suppress both the reduction in subjective quality of reproduced sound and the reduction in coding efficiency. In this disclosure, a direction-defined bitstream is generated by encoding sound data using a bit allocation based on a direction-defined spatial masking threshold, where the direction-defined spatial masking threshold is a spatial masking threshold that defines the directional range of a sound source. The direction-defined bitstream generated by encoding sound data using a bit allocation based on the direction-defined spatial masking threshold is acquired, and the acquired direction-defined bitstream is decoded, where the direction-defined spatial masking threshold is a spatial masking threshold that defines the directional range of a sound source. This disclosure can be applied, for example, to information processing apparatuses or information processing methods.

An apparatus includes a processor and a transmitter. The processor is configured to determine a first mismatch value indicative of a first amount of a time mismatch between a first audio signal and a second audio signal. The processor is also configured to determine a second mismatch value indicative of a second amount of a time mismatch between the first audio signal and the second audio signal. The processor is further configured to determine an effective mismatch value based on the first mismatch value and the second mismatch value. The processor is also configured to generate at least one encoded signal having a bit allocation. The bit allocation is based at least in part on the effective mismatch value. The transmitter is configured to transmit the at least one encoded signal to a second apparatus.

An image decoding method and device according to the present disclosure can receive a bitstream including an encoded video picture and reconstruct the encoded video picture included in the bitstream. Here, the bitstream may include bit depth range information. The bit depth range information may include at least one of range number information indicating the number of bit depth ranges used for bit allocation of an original picture, a layer ID flag indicating whether layer ID information is included, or partition-related information related to a partition of a coded picture, and the partition-related information may include at least one of horizontal partition position information, vertical partition position information, partition width information, or partition height information.

The application provides a design method of glowworm swarm optimization algorithm based on a ternary optical computer, relates to the field of glowworm swarm optimization algorithm, and improves the operation speed and communication mode of the algorithm by using the parallelism of the ternary optical computer, and different parallel strategies are used for the algorithm in different stages to reasonably allocate resources, wherein the inter-process communication between processors can also make the population individuals in different processors communicate with each other, and the mutation and cross fusion are performed on the basis of each other, the application is based on the characteristics of the ternary optical computer, such as the huge potential, parallelism and bit allocation, and the classical glowworm swarm optimization algorithm is improved, an improved glowworm swarm optimization algorithm based on the ternary optical computer is designed mainly by means of chaotic mapping randomization of the initial population position, introduction of adaptive step length, and balance of boundary adjustment, and the like, and the experimental results show that the improved glowworm swarm optimization algorithm based on the ternary optical computer has enhanced optimization ability and increased convergence speed.

A method for extending a frequency band of an audio signal, which is performed by a decoding device and includes: receiving a bit stream sent by an encoding device, and obtaining a decoded audio frequency domain signal by decoding the bit stream; and in response to a highest frequency point with a bit allocation in the audio frequency domain signal being lower than a starting frequency point of a preset bandwidth extension frequency band, or a frequency band with a bit allocation in the audio frequency domain signal being smaller than a preset bandwidth extension starting frequency band, predicting a frequency spectrum signal between the highest frequency point with the bit allocation and a highest frequency point of the preset bandwidth extension frequency band based on a frequency spectrum signal within a predetermined frequency band range or a predetermined frequency point range in the audio frequency domain signal.

The invention discloses a camera remote real-time control system and a control method based on video monitoring, and relates to the technical field of camera control, in an image communication link, video and holder control cooperation is realized, a control symbol is embedded into a video code stream, and synchronous correction is carried out based on control and video double-link time delay estimation. The cloud platform motion and control intention is mapped into a coding structure and ROI bit distribution through visual control isomorphism, so that low-delay and high-definition transmission is still carried out in a key target area under network fluctuation, target loss and misoperation are reduced, and the monitoring disposal and evidence obtaining continuity of a chemical industrial park and an oil and gas storage tank area is improved.

This invention relates to the field of drilling communication technology, specifically to an intelligent drill string duplex information transmission system and method based on ADSL communication. It includes: a channel modeling module identifying deep fading frequency bands based on drill string joint parameters; a resource allocation module establishing a spectrum mapping table from deep fading subcarriers to available subcarriers and determining a bit allocation scheme; a rotation compensation module establishing a phase offset prediction model; a data transmission module performing duplex transmission based on the spectrum mapping table and phase pre-compensation; and an adaptive update module periodically updating parameters and switching operating modes through predictive failure detection. This invention solves the problem of deep fading and time-varying rotation coupling in drill string segmented channels through a joint reflection channel modeling and rotation prediction compensation mechanism, thereby improving transmission reliability and spectral efficiency.

The invention relates to the field of channel coding, and discloses a polarization code construction method and system based on reinforcement learning, a terminal and a storage medium, and the method comprises the steps: carrying out the modeling of a polarization code construction process as a labyrinth traversal task on a two-dimensional grid, and carrying out the labyrinth traversal task in each moving step of the task, selecting a moving action to distribute information bits or frozen bits according to the current state of the intelligent agent so as to form partially constructed code words, evaluating the partially constructed code words, and generating an instant reward signal representing the quality of the type of the distributed bits in the current step; constructing a partially observable state representation, taking the state representation as an input, taking the instant reward signal as a training feedback, and training an intelligent agent; and executing a labyrinth traversal task by using the trained intelligent agent, outputting an action sequence, determining the position of an information bit based on the action sequence, and obtaining an optimized bit allocation sequence to improve the transmission reliability of a communication link. The polarization code constructed by the method is excellent in performance, and the convergence speed is remarkably improved.

Various aspects of the present disclosure generally relate to wireless communications. In some aspects, a user equipment (UE) may select a variable bit allocation indicating a quantization size for a respective segment of a potential message representing channel state information. The UE may quantize the respective segment to form a potential message based at least in part on the quantization size of the respective segment. The UE may transmit the variable bit assignment with the potential message. Numerous other aspects are described.

The application relates to the field of artificial intelligence and automatic driving technology and discloses a space-time constraint end-to-end automatic driving system and method based on a unified VLA model, which comprises a unified encoder, a computing power management unit, a core neural network and an output decoder. In the application, physical time is mapped into a computing power budget vector, a gating operator embedded in the core neural network is used to calculate feature information entropy and computing power consumption in real time, and a topology reconstruction logic based on entropy and computing power joint constraint is used to dynamically trigger a computation graph collapse operation at an instruction level, so that the network reasoning depth is adaptively stretched according to the physical time constraint. The application establishes an isomorphic mapping of the computation model topology structure and the physical time constraint, determines the upper limit of the deterministic delay under extreme working conditions, solves the dimension mismatch problem of the existing static computation graph under the hard real-time constraint, and realizes optimal bit allocation of the computing resources in the time dimension.

Certain aspects of the present disclosure provide techniques for phase quantization. A method generally includes obtaining a vector of complex elements, wherein each respective complex element in the vector is expressed in terms of a respective amplitude and a respective phase associated with the respective complex element; allocating one or more bits of a set of bits to each respective complex element in the vector based at least in part on the respective amplitude associated with each respective complex element in order to increase a phase quantization gain; and quantizing a respective phase associated with each respective complex element in the vector based at least in part on the one or more bits allocated to the respective complex element.

The invention discloses a correlation sorting guided regional adaptive dynamic laser radar point cloud compression method and system, electronic equipment and a medium. In order to solve the problem that an existing point cloud compression method does not utilize fine-grained semantic priority to realize adaptive bit distribution, an adaptive correlation learning module utilizing semantic context and uncertainty information is provided to identify important areas, and correlation scores of different areas are given. According to the method, a multi-scale adaptive feature extraction module is guided by using the obtained correlation score, and the local details of the point cloud are obtained in an efficient manner by focusing on a key area in the encoding and decoding process. And meanwhile, the richness and robustness of the motion characteristics are enhanced by combining an adaptive multi-modal motion estimation module, so that more accurate and reliable motion estimation is realized in a complex three-dimensional scene.