46 results about "Coefficient quantization" patented technology

A video encoder is configured to entropy encode an absolute value of a quantization level of a current transform coefficient at position (xC, yC), wherein the absolute value is encoded using context adaptive binary arithmetic encoding of bins of a first binarization. The video coder is further configured, for the current transform coefficient, to encode a bin of the first binarization by using a context which is determined based on a sum of minimum absolute values of transform coefficient quantization levels, based on encoded bins of the first binarization, at one or more transform coefficient positions among (xC+1, yC), (xC+2, yC), (xC+1, yC+1), (xC, yC+1), and (xC, yC+2).

The invention discloses an eddy current testing reliability evaluation method and system based on signal space distribution characteristics, and belongs to the technical field of nondestructive testing. According to the method, eddy current signal space distribution characteristics and the detection probability (POD) and the false detection rate (PFA) in nondestructive testing reliability evaluation indexes are fused, and the method is used for comprehensively evaluating the defect detection capacity and the reliability of a detection system. By introducing the Gini coefficient to quantitatively detect the imbalance of signal space distribution, the method effectively characterizes the distinguishability of signals in a defect state and a defect-free state, and replaces traditional POD and PFA analysis methods based on single-point amplitude or phase characteristics. Compared with a traditional method, the Gini coefficient can more comprehensively represent the overall distribution characteristics of the signals, the influence of noise is small, and the method is particularly suitable for the eddy current detection environment under the condition of the low signal-to-noise ratio. Besides, a POD and PFA relation curve is constructed based on Gini coefficients, ROC analysis is performed, the defect detection rate can be effectively increased, the false detection rate can be reduced, and the reliability of the nondestructive testing system can be evaluated more efficiently and accurately.

The invention relates to the technical field of signal processing, in particular to a large-bandwidth signal source bandwidth flatness compensation method and device based on an FPGA (Field Programmable Gate Array), and the method comprises the steps: playing signal data with required bandwidth through an analog front end based on the FPGA, and measuring an original amplitude-frequency response curve of the signal data through a frequency spectrograph; calculating the amplitude-frequency response of the compensation filter, obtaining a compensation filter coefficient, and quantifying the compensation filter coefficient; sending the quantized compensation filter coefficient to an FPGA to compensate the signal data, playing the signal data through an analog front end, and measuring a first pre-compensation amplitude-frequency response curve in a Nyquist frequency range through a frequency spectrograph; and determining a frequency range exceeding the set bandwidth flatness according to the first pre-compensation amplitude-frequency response curve, and performing independent compensation. Therefore, the influence caused by nonlinearity of a DAC device and related circuits is overcome, the amplitude-frequency response of a large-bandwidth signal source is effectively compensated, the signal flatness in the bandwidth is improved, and the stability and reliability of the system are enhanced.

The invention provides a TLF-GV signal correlation earthquake three-element joint probability prediction method and system, belongs to the technical field of earthquake prediction, and aims to solve the problems that traditional three-element prediction lacks joint fusion, evidence conflicts are difficult to process, and weights are fixed. Comprising the following steps: extracting physical features of TLF-GV signals, carrying out preorder three-element prediction results and model credibility parameters, splicing the physical features into feature vectors, inputting the feature vectors into a dynamic weight prediction model constructed by a shallow MLP, and outputting time, magnitude and position weights; dividing the three elements into 3 * 3 * 3 = 27'time-magnitude-position 'propositions, generating basic probability assignment (BPA) of each proposition based on weights, and quantifying evidence contradictions through a conflict coefficient K; and adopting a Dempster combination rule to obtain a joint BPA, calculating a mean value of a reliability function and a likelihood function of each proposition as a comprehensive probability, and extracting a maximum probability proposition as a coupling result. According to the method, the scientificity and practicability of strong earthquake short-term and temporary prediction are remarkably improved.

The invention relates to a hybrid beam forming anti-interference method for a millimeter wave large-scale array, and the method comprises the steps: S1, enabling a far-field signal to enter a linear antenna array which is uniformly distributed, and enabling the linear antenna array to form an analog receiving matrix through the received snapshot data; s2, the linear antenna array is divided into sub-arrays, each sub-array reconstructs a covariance matrix of interference and noise by using the data received in the step S1, and then an analog beam forming weight coefficient is obtained; s3, the analog beam forming weight coefficient in the S2 is quantized, the analog beam forming weight coefficient is quantized into a discrete value according to the precision of a phase shifter, and analog beam forming output is obtained according to the discrete value; and S4, acquiring an analog beam forming output signal at a digital port through an analog-to-digital converter, solving a digital beam forming weight through a sampling covariance matrix inversion algorithm, and obtaining a final output. Compared with the prior art, the method has the advantages of effective and remarkable anti-interference performance and the like.

A video encoder is configured to entropy encode an absolute value of a quantization level of a current transform coefficient at position (xC, yC), wherein the absolute value is encoded using context adaptive binary arithmetic encoding of bins of a first binarization. The video coder is further configured, for the current transform coefficient, to encode a bin of the first binarization by using a context which is determined based on a sum of minimum absolute values of transform coefficient quantization levels, based on encoded bins of the first binarization, at one or more transform coefficient positions among (xC+1, yC), (xC+2, yC), (xC+1, yC+1), (xC, yC+1), and (xC, yC+2).

The present invention belongs to the field of video coding quantization algorithms, and discloses a context - adaptive threshold - based dependent quantization pruning method, which includes the following steps: Step 1: Coefficient quantization classification; Step 2: Establish a context - based adaptive threshold model; Step 3: Determine the adaptive threshold; Step 5: Update the grid state. Through the DQ algorithm principle and statistical analysis of quantization results, the present invention abstracts complex dynamic programming quantization into a multi - variable and multi - interval classification problem of quantization parameters QP, quantization remainder ξ, coefficient context index, etc. Aiming at the problem that there are still different quantization results in the same interval, a pruning method based on threshold comparison is proposed to cut some "safe" paths and simplify the full - path search. It greatly reduces the dynamic programming search space and solves the problem of high complexity of full - path search in the DQ algorithm.

The present invention discloses a method and system for detecting surface defects of turbine components of an air cycle machine, comprising: building a detection basis through image preprocessing and edge extraction, enhancing defect feature contrast in combination with grayscale value and gradient amplitude correction, realizing refined regional division using a region growing algorithm, quantifying defect judgment criteria with a scoring coefficient, and optimizing detection results through overlapping region screening, thereby effectively improving the accuracy and reliability of defect detection, being able to accurately identify minor defects and avoid misjudgment, and at the same time, the automated processing flow significantly improving detection efficiency, providing efficient and intelligent technical support for turbine component quality control.

The invention relates to a low latency low frequency effect codec. In some embodiments, a method of encoding a low frequency effect (LFE) channel includes receiving a time domain LFE channel signal; filtering the time domain LFE sound channel signal by using a low-pass filter; converting the filtered time domain LFE channel signal into a frequency domain representation of the LFE channel signal comprising a number of coefficients representing a spectrum of the LFE channel signal; arranging coefficients into a number of subband groups corresponding to different frequency bands of the LFE channel signal; quantizing coefficients in each secondary frequency band group according to a frequency response curve of the low-pass filter; encoding the quantized coefficients in each subband group using an entropy decoder that is tuned for the subband groups; and generating a bitstream comprising the encoded quantized coefficients; and storing the bitstream on a storage device or streaming the bitstream to a downstream device.

Methods and apparatus for image compression / decompression using tensor product B-spline (TPB) representations. According to an example embodiment, an image compression method includes generating a plurality of TPB models representing an image, the plurality of TPB models including a TPB model for approximating a spatial remodeling function and a plurality of block-by-block TPB models for estimating an image signal. In some examples, the plurality of tile-by-tile TPB models includes a plurality of luma channel TPB models and a plurality of chroma channel TPB models. The spatial remodeling function is configured to transform a non-uniform local content complexity distribution in the image towards a more uniform transition. The method also includes generating a metadata stream carrying metadata representing a set of coefficients for the various TPB models. At least a portion of the metadata is generated by quantizing corresponding coefficients to a smaller number of bits and applying arithmetic coding to the quantized coefficients.

The present invention relates to a method for quickly evaluating the harmonics of a static frequency converter under the black start mode of a floating power station. For the first time, a harmonic influence coefficient HIC is proposed to quantitatively characterize the influence of the short-circuit capacity of the black start system power supply and the output power of the SFC on harmonics. A fitting formula is used to describe the relationship between the total harmonic distortion rate THD and the harmonic influence coefficient HIC of the black start system. This fitting formula can quickly calculate the total harmonic distortion rate, with small calculation workload and easy data collection, being fast and simple. A method of optimizing the black start scheme by adjusting the speed-up curve is used. The specific approach is to reduce the angular acceleration, so that the maximum value of the active power output by the SFC is reduced, thereby reducing the harmonic influence coefficient and the total harmonic distortion rate. This is beneficial to the feasibility of the black start scheme. This optimization and adjustment process is carried out according to the calculation formula, which is convenient to apply, and adjusting the speed-up curve has a lower cost compared to configuring harmonic suppression measures.

The invention discloses a non-uniform quantization method and device based on density sensing clustering, equipment and a storage medium, and relates to the technical field of network communication, and the method comprises the steps: obtaining a tap coefficient of an equalizer; performing clustering division on the tap coefficient according to a preset quantization bit width to obtain a plurality of target clusters; determining a quantization parameter corresponding to the target cluster according to the dynamic range of the intra-cluster coefficient in the target cluster, wherein the quantization parameter comprises a scaling factor and a zero offset parameter; and independently and uniformly quantizing the tap coefficient in the target cluster according to the quantization parameter to obtain a recovery coefficient. According to the invention, the coefficient is adaptively divided into a plurality of clusters based on density sensing clustering, and uniform quantization is independently performed on each cluster, so that high-precision quantization of the equalizer coefficient under extremely low bits is completed, and the storage efficiency of coefficient quantization and the performance of the equalizer are improved.

The present invention provides a holomorphic embedding affine power flow uncertainty quantification method for the spatio-temporal correlation of new energy power stations, comprising the following steps: obtaining the historical output data of multiple new energy power stations, and eliminating the zero-output data segments through sliding window analysis to obtain a standardized output sequence; based on the standardized output sequence, using the parallelogram model to convert the new energy output interval envelope into an affine number form through matrix multiplication to generate an affine output model representing spatio-temporal correlation; respectively constructing the classical holomorphic embedding equations for PQ nodes, PV nodes and balance nodes, and extracting the coefficients of each order of affine power series; constructing a constant recurrence relation matrix related to the network topology and node type according to the coefficients of the affine power series, and performing analytic continuation on the Maclaurin series through the Padé approximation technique to obtain the affine power flow solutions under different load levels; based on the noise element coefficients in the affine power flow solutions, quantifying the influence degree of the output uncertainty of each new energy power station on the system state variables.

The invention relates to a low latency low frequency effect codec. In some embodiments, a method of encoding a low frequency effect (LFE) channel includes receiving a time domain LFE channel signal; filtering the time domain LFE sound channel signal by using a low-pass filter; converting the filtered time domain LFE channel signal into a frequency domain representation of the LFE channel signal comprising a number of coefficients representing a spectrum of the LFE channel signal; arranging coefficients into a number of subband groups corresponding to different frequency bands of the LFE channel signal; quantizing coefficients in each secondary frequency band group according to a frequency response curve of the low-pass filter; encoding the quantized coefficients in each subband group using an entropy decoder that is tuned for the subband groups; and generating a bitstream comprising the encoded quantized coefficients; and storing the bitstream on a storage device or streaming the bitstream to a downstream device.

The application discloses a kind of stability detection method, device, equipment and medium of multi-conversion station system, it is related to power system technical field, method includes: obtaining the impedance matrix of multi-conversion station system;Obtain the port admittance matrix of converter in multi-conversion station system;According to impedance matrix and port admittance matrix, construct the return difference matrix of multi-conversion station system;Generalized radius coefficient of return difference matrix is defined;If generalized radius coefficient is less than preset threshold in research frequency band, then stability criterion is simplified based on generalized diagonal dominance, whether multi-conversion station system is stable according to the stability criterion after simplification is detected.The application constructs the return difference matrix of multi-conversion station system, and the coupling relationship between converter is quantified according to generalized radius coefficient of return difference matrix, if generalized radius coefficient is less than preset threshold, then it can be determined as weak coupling relationship, and then stability criterion is simplified based on generalized diagonal dominance, can reduce the complexity of detecting the stability of multi-conversion station system and improve detection efficiency.

The invention discloses a time-frequency fusion Hokes dynamic wireless sensor network topology hierarchical inference method, which comprises the following steps of: converting radio frequency signals acquired by a multi-sensor array into a time-frequency domain characteristic space, and establishing a dynamic mapping relation between node space positions and electromagnetic characteristics; the method comprises the following steps: constructing an event triggering relationship between nodes based on a Horkes process, quantifying space-time correlation through a baseline intensity parameter and a dynamic excitation coefficient, and setting a historical event influence attenuation rate; subnets are initialized through boundary sensing nodes, the mass center of the subnets is calculated according to the node degree inverse proportion weight, uncovered nodes which are closest to the mass center and have the feature similarity reaching the standard are preferentially expanded, and the node overlapping rate between the subnets is controlled to be not lower than a preset value; and confidence weighted fusion is carried out on the reasoning results of the subnets, time-frequency feature backtracking verification is carried out on conflicting links, and a dynamic adjacency matrix with a timestamp is generated. According to the method, high-precision link detection can be realized in a dynamic network, and the method has remarkable dynamic adaptability and calculation efficiency.

The invention relates to a low latency low frequency effect codec. In some embodiments, a method of encoding a low frequency effect (LFE) channel includes receiving a time domain LFE channel signal; filtering the time domain LFE sound channel signal by using a low-pass filter; converting the filtered time domain LFE channel signal into a frequency domain representation of the LFE channel signal comprising a number of coefficients representing a spectrum of the LFE channel signal; arranging coefficients into a number of subband groups corresponding to different frequency bands of the LFE channel signal; quantizing coefficients in each secondary frequency band group according to a frequency response curve of the low-pass filter; encoding the quantized coefficients in each subband group using an entropy decoder that is tuned for the subband groups; and generating a bitstream comprising the encoded quantized coefficients; and storing the bitstream on a storage device or streaming the bitstream to a downstream device.

Systems, methods, and devices for wireless communication are described. A method of wireless communication includes receiving, by a wireless device, configuration signaling. The method also includes determining, by the wireless device, a precoding matrix indicator (PMI), where the PMI is based on a codebook indicated by the configuration signaling and the PMI corresponds to a precoding matrix applicable to more than 32 antenna ports of a network device. The method also includes transmitting, by the wireless device, the PMI. In some embodiments, the method includes configuration of oversampling factors, configuration of codebook subset restriction, selection of a spatial domain (SD) / frequency domain (FD) basis, non-zero coefficient indication, and non-zero coefficient quantization.

The invention provides a ship sensing data optimization method and device, and the method comprises the steps: determining a correlation calculation coefficient of each parameter sensor based on the distribution characteristics of to-be-optimized ship data of each parameter sensor, and then decomposing the to-be-optimized ship data based on a variational mode decomposition algorithm, the correlation between the ship data to be optimized and a plurality of intrinsic mode functions is quantitatively evaluated based on correlation calculation coefficients corresponding to the parameter sensors, and finally partition optimization reconstruction is performed based on the correlation, so that multi-source ship data optimization which automatically adapts to data features and dynamically processes real-time data is realized. The method effectively overcomes the dependence of a traditional method on artificial experience, can carry out efficient and accurate denoising processing on sensor data of a marine nuclear power system under a complex background, remarkably improves the data quality, provides more reliable data input for subsequent ship state analysis, evaluation and control decision, and improves the reliability of data processing. Therefore, safe and stable operation of the nuclear power system is guaranteed.

The invention relates to a low latency low frequency effect codec. In some embodiments, a method of encoding a low frequency effect (LFE) channel includes receiving a time domain LFE channel signal; filtering the time domain LFE sound channel signal by using a low-pass filter; converting the filtered time domain LFE channel signal into a frequency domain representation of the LFE channel signal comprising a number of coefficients representing a spectrum of the LFE channel signal; arranging coefficients into a number of subband groups corresponding to different frequency bands of the LFE channel signal; quantizing coefficients in each secondary frequency band group according to a frequency response curve of the low-pass filter; encoding the quantized coefficients in each subband group using an entropy decoder that is tuned for the subband groups; and generating a bitstream comprising the encoded quantized coefficients; and storing the bitstream on a storage device or streaming the bitstream to a downstream device.

Methods and apparatus for image compression / decompression using tensor product B-spline (TPB) representations. According to an example embodiment, an image-compression method includes generating a plurality of TPB models representing an image, including a TPB model for approximating a spatial reshaping function and a plurality of patch-wise TPB models for estimating the image signal. In some examples, the plurality of patch-wise TPB models includes a plurality of luma-channel TPB models and a plurality of chroma-channel TPB models. The spatial reshaping function is configured to shift a non-uniform distribution of local content complexity in the image toward being more uniform. The method also includes generating a metadata stream carrying metadata representing sets of coefficients of various TPB models. At least a portion of the metadata is generated by quantizing the corresponding coefficients to a smaller number of bits and applying arithmetic coding to the quantized coefficients.

A channel feedback information transmission method and apparatus, relating to the technical field of wireless communications. The method comprises: a second device receives a first signal from a first device; and the second device sends channel feedback information to the first device, the channel feedback information indicating non-zero coefficient quantization information and non-zero coefficient selection information in a coefficient matrix, and the coefficient matrix being obtained on the basis of a spatial domain basis and a frequency domain basis. The spatial domain basis and the frequency domain basis satisfy a first option, a second option, or a third option; the first option is that the spatial domain basis consists of all the vectors in a spatial domain basis matrix, and the frequency domain basis consists of all the vectors in a frequency domain basis matrix; the second option is that the spatial domain basis consists of a subset of vectors in the spatial domain basis matrix, and the frequency domain basis consists of all the vectors in the frequency domain basis matrix; and the third option is that the spatial domain basis consists of all the vectors in the spatial domain basis matrix, and the frequency domain basis consists of a subset of vectors in the frequency domain basis matrix.

Systems, methods, and apparatus for wireless communication are described. A wireless communication method includes receiving, by a wireless device, a configuration signaling. The method further includes determining, by the wireless device, a precoding matrix indicator (PMI), where the PMI is based on a codebook indicated by the configuration signaling and corresponds to a precoding matrix applicable for more than 32 antenna ports of a network device. The method further includes transmitting, by the wireless device, the PMI. In some embodiments, the method includes configuration of oversampling factors, configuration of codebook subset restrictions, spatial domain (SD) / frequency domain (FD) basis selection, non-zero coefficient indication, and non-zero coefficient quantization.

The invention discloses a subway signal fault diagnosis and prediction method and system based on artificial intelligence, and particularly relates to the technical field of signal faults, and the method comprises the steps: simulating the activities of passengers in a subway in a carriage through a wireless network tester, determining different flow modes in a subway operation process, and carrying out the diagnosis and prediction of the subway signal faults; the signal switching process in the running process of the subway is monitored, the signal performance index information generated by the wireless network tester and the actual switching information of the actual wireless network tester are collected, and the signal quality in different flow modes is quantified through a signal evaluation coefficient; signal evaluation coefficients under different flow modes and duration proportions of different flow modes in the operation process of a subway are used as input of a regression model, and the possibility of subway signal faults is quantified through the regression model, so that potential signal faults can be found, advanced prevention measures can be taken, and the probability that the subway signal faults occur is reduced. Therefore, the stability and reliability of subway signals are improved.

This invention provides a method and system for joint probabilistic prediction of three earthquake elements associated with TLF-GV signals, belonging to the field of earthquake prediction technology. It aims to solve the problems of traditional three-element prediction lacking joint fusion, difficulty in handling evidence conflicts, and fixed weights. The method includes: extracting the physical characteristics of the TLF-GV signal, taking the prediction results of the previous three elements and model confidence parameters, concatenating them into a feature vector, inputting it into a dynamic weighted prediction model constructed by a shallow MLP, and outputting time, magnitude, and location weights; dividing the three elements into 3×3×3=27 "time-magnitude-location" propositions, generating a basic probability assignment (BPA) for each proposition based on the weights, and quantifying evidence contradictions through a conflict coefficient K; obtaining the joint BPA using the Dempster combination rule, calculating the mean of the confidence function and likelihood function of each proposition as the comprehensive probability, and extracting the proposition with the highest probability as the coupling result. This method significantly improves the scientific rigor and practicality of short-term strong earthquake prediction.

The invention relates to a low latency low frequency effect codec. In some embodiments, a method of encoding a low frequency effect (LFE) channel includes receiving a time domain LFE channel signal; filtering the time domain LFE sound channel signal by using a low-pass filter; converting the filtered time domain LFE channel signal into a frequency domain representation of the LFE channel signal comprising a number of coefficients representing a spectrum of the LFE channel signal; arranging coefficients into a number of subband groups corresponding to different frequency bands of the LFE channel signal; quantizing coefficients in each secondary frequency band group according to a frequency response curve of the low-pass filter; encoding the quantized coefficients in each subband group using an entropy decoder that is tuned for the subband groups; and generating a bitstream comprising the encoded quantized coefficients; and storing the bitstream on a storage device or streaming the bitstream to a downstream device.

The invention relates to a low latency low frequency effect codec. In some embodiments, a method of encoding a low frequency effect (LFE) channel includes receiving a time domain LFE channel signal; filtering the time domain LFE sound channel signal by using a low-pass filter; converting the filtered time domain LFE channel signal into a frequency domain representation of the LFE channel signal comprising a number of coefficients representing a spectrum of the LFE channel signal; arranging coefficients into a number of subband groups corresponding to different frequency bands of the LFE channel signal; quantizing coefficients in each secondary frequency band group according to a frequency response curve of the low-pass filter; encoding the quantized coefficients in each subband group using an entropy decoder that is tuned for the subband groups; and generating a bitstream comprising the encoded quantized coefficients; and storing the bitstream on a storage device or streaming the bitstream to a downstream device.

The present disclosure relates to low-latency low-frequency effect codecs. In some embodiments, a method of encoding a low-frequency effect (LFE) channel includes receiving a time-domain LFE channel signal, filtering the time-domain LFE channel signal using a low-pass filter, converting the filtered time-domain LFE channel signal to a frequency-domain representation of the LFE channel signal including a number of coefficients representing a spectrum of the LFE channel signal, arranging coefficients into a number of sub-band groups corresponding to different frequency bands of the LFE channel signal, quantizing coefficients in each sub-band group according to a frequency response curve of the low-pass filter, encoding the quantized coefficients in each sub-band group using an entropy coder tuned for the sub-band group, and generating a bitstream including the encoded quantized coefficients, and storing the bitstream on a storage device or streaming the bitstream to a downstream device.

The invention discloses a penetration fuse accurate layer metering method for identifying a strong aliasing overload signal, and belongs to the technical field of penetration fuses. Cross-correlation calculation is carried out based on an overload signal and a half-sine function to obtain a layer envelope signal, the peak value of the layer envelope signal is used as a projectile body collision target characteristic value, an energy attenuation coefficient is calculated in real time in the penetration process, the overload signal oscillation degree in the target penetrating process is quantified, and the layer envelope signal peak value of the previous layer is multiplied by the energy attenuation coefficient, so that the vibration degree of the projectile body collision target is calculated. Therefore, the layer target identification capability of the penetration fuze in the high-speed penetration environment of the warhead with the large length-diameter ratio is improved, and the layer counting accuracy of the fuze is improved. According to the method, the problem of inaccurate layer metering caused by serious aliasing of overload signals and stress wave signals and incapability of identifying target environment change when the penetration fuze follows complex working conditions of variable wall thickness, variable spacing and the like of high-speed penetration of a large-length-diameter-ratio warhead is solved.

Methods and apparatus for image compression / decompression using tensor product B-spline (TPB) representations. According to an example embodiment, an image-compression method includes generating a plurality of TPB models representing an image, including a TPB model for approximating a spatial reshaping function and a plurality of patch-wise TPB models for estimating the image signal. In some examples, the plurality of patch-wise TPB models includes a plurality of luma-channel TPB models and a plurality of chroma-channel TPB models. The spatial reshaping function is configured to shift a non-uniform distribution of local content complexity in the image toward being more uniform. The method also includes generating a metadata stream carrying metadata representing sets of coefficients of various TPB models. At least a portion of the metadata is generated by quantizing the corresponding coefficients to a smaller number of bits and applying arithmetic coding to the quantized coefficients.