15 results about "Linear prediction coefficient" patented technology

Provided are an apparatus for encoding an audio signal and a method of an operation thereof. An audio signal encoding method includes obtaining quantized linear prediction (LP) coefficients by performing a linear predictive coding (LPC) analysis and quantization on an input audio signal, generating a reference signal by applying discrete Fourier transform (DFT) to the input audio signal, obtaining LP residual coefficients from the reference signal, scaling magnitudes of the LP residual coefficients using the quantized LP coefficients and the reference signal, and quantizing phases of the LP residual coefficients and the scaled magnitudes of the LP residual coefficients.

Systems and methods for quantum linear prediction include autocorrelations formed with QFTs, and a modified quantum HHL circuit that includes appropriate normalization and encoding steps for solving a linear system of equations, including normalization of the quantum autocorrelation sequence using a norm factor; measuring a probabilistic distribution associated with values of a quantum state solution vector representing a set of quantum autoregressive parameters that correlate with a linear relationship between the quantum autocorrelation matrix and the quantum autocorrelation sequence; and generating a set of quantum linear prediction coefficients by re-normalization of the quantum state solution vector using the norm factor associated with the quantum autocorrelation sequence of the preprocessed input.

The invention discloses a broadband signal measurement method based on improved Prony, and the method comprises the following steps: 1, carrying out the singular value decomposition of a broadband signal, determining an initial singular value demarcation point through an energy accumulation method, and introducing a Pearson correlation coefficient to distinguish the main frequency components and noise of the signal, thereby determining the model order of Prony; 2, preprocessing the broadband signal by using variational mode decomposition, solving a variational problem through iteration, decomposing the complex broadband signal into a plurality of intrinsic mode functions with narrowband frequency spectrums, and reducing the complexity of signal processing; step 3, introducing a disturbance matrix satisfying a Toeplitz structure, iteratively optimizing a linear prediction coefficient of a Prony algorithm, using the Prony algorithm after parameter optimization to identify each mode, obtaining frequency, amplitude and phase information of each mode, and realizing measurement of broadband signals; according to the method, the problem of insufficient measurement precision caused by noise interference and difficulty in model order selection in broadband signal measurement of a traditional Prony algorithm is solved.

The present application provides a snoring detection method, apparatus, device and readable storage medium. The method includes: calculating the Mel-frequency cepstral coefficients and linear prediction coefficients of the microphone sound signal respectively; performing feature splicing and dimensionality reduction processing on the Mel-frequency cepstral coefficients and linear prediction coefficients to obtain a target feature sequence; calculating a target feature vector corresponding to the micro-Doppler feature of the target body part of the user based on the radar echo signal; wherein, the microphone sound signal and the radar echo signal are signals synchronously collected in the user's sleep environment; the micro-Doppler feature is used to reflect the vital activity state of the target part; inputting the target feature sequence and the target feature vector into a preset fusion processing model respectively to output a snoring detection result. Through the implementation of the solution of the present application, by fusing the feature data collected by two sensors, the snoring recognition ability in the home scenario can be effectively improved, and the complexity of data processing and the dependence of data processing on the network can be reduced.

The application belongs to the field of underwater target direction estimation, and combines a linear prediction algorithm with an ETAM algorithm of a vector hydrophone array to estimate the direction of an underwater target. Specifically, the application comprises the following steps: 1) constructing a data matrix of a virtual array after synthetic aperture by using the principle of the ETAM algorithm of the vector hydrophone array; 2) performing high-order linear prediction to solve forward and backward linear prediction coefficient vectors of the matrix; 3) extending the virtual array by k elements to the right or to the left; and 4) performing direction estimation on a signal matrix received by the extended virtual array in the previous step by using a conventional beam forming algorithm of the vector hydrophone array to obtain the target angle. The DOA estimation method of the moving platform vector hydrophone array based on the linear prediction and the ETAM algorithm can realize target direction estimation under the condition of lower signal-to-noise ratio and fewer array elements, and improves the target direction estimation precision and resolution of the underwater moving array.

A method and apparatus for audio signal encoding are provided. According to one embodiment, an audio signal decoding method includes an operation for receiving a bitstream including information related to a first audio signal. The method includes operations for generating a second audio signal based on a first spectrum obtained from the bitstream and first quantization information. The first quantization information includes quantization information generated based on a first complex polynomial having a complex linear prediction coefficient (LPC) corresponding to the first audio signal as a coefficient.

A method and apparatus for coding an audio signal are disclosed. According to one embodiment, the method for decoding an audio signal includes receiving a bitstream containing information about a first audio signal. The method further includes generating a second audio signal based on first quantization information and a first frequency spectrum obtained from the bitstream. The first quantization information may include quantization information generated based on a first complex polynomial having complex linear prediction coefficients (LPCs) corresponding to the first audio signal as coefficients.

A coding method and a decoding method are provided which can use in combination a predictive coding and decoding method which is a coding and decoding method that can accurately express coefficients which are convertible into linear prediction coefficients with a small code amount and a coding and decoding method that can obtain correctly, by decoding, coefficients which are convertible into linear prediction coefficients of the present frame if a linear prediction coefficient code of the present frame is correctly input to a decoding device. A coding device includes: a predictive coding unit that obtains a first code by coding a differential vector formed of differentials between a vector of coefficients which are convertible into linear prediction coefficients of more than one order of the present frame and a prediction vector containing at least a predicted vector from a past frame, and obtains a quantization differential vector corresponding to the first code; and a non-predictive coding unit that generates a second code by coding a correction vector which is formed of differentials between the vector of the coefficients which are convertible into the linear prediction coefficients of more than one order of the present frame and the quantization differential vector or formed of some of elements of the differentials.

An embodiment according to the present invention includes an audio decoder configured to decode a quantized spectrum and an envelope representation based on linear prediction coefficients from a data stream for a predetermined frame of consecutive frames. Further, the decoder is configured to locate a zero-quantized portion and a non-zero quantized portion in the quantized spectrum and derive the quantized spectrum by filling the quantized spectrum in the zero-quantized portion of the quantized spectrum with synthetic spectrum data modified in accordance with an envelope representation based on linear prediction coefficients in a first manner, and modifying the quantized spectrum in the non-zero quantized spectrum portion in a second manner in accordance with an envelope representation based on linear prediction parameters. Further, a decoder is configured to reconstruct a predetermined frame using the dequantized spectrum. The audio decoder is configured such that, for the predetermined portion, the modification according to the first manner and the modification according to the second manner are such that the spectrally quantized noise shaping comprises different smoothness characteristics. In addition, a corresponding encoder and method are also disclosed.

A technology of accurately coding and decoding coefficients which are convertible into linear prediction coefficients even for a frame in which the spectrum variation is great while suppressing an increase in the code amount as a whole is provided. A coding device includes: a first coding unit that obtains a first code by coding coefficients which are convertible into linear prediction coefficients of more than one order; and a second coding unit that obtains a second code by coding at least quantization errors of the first coding unit if (A−1) an index Q commensurate with how high the peak-to-valley height of a spectral envelope is, the spectral envelope corresponding to the coefficients which are convertible into the linear prediction coefficients of more than one order, is larger than or equal to a predetermined threshold value Th1 and / or (B−1) an index Q′ commensurate with how short the peak-to-valley height of the spectral envelope is, is smaller than or equal to a predetermined threshold value Th1′.

The invention discloses a multi-mode child snore monitoring system and detection system based on a mobile terminal, the mobile terminal comprises an audio acquisition module, a data storage module and a data processing module, the data storage module stores audio data acquired by the audio acquisition module, and the data processing module processes the audio data. The data processing module preprocesses the audio data, extracts a Mel-frequency cepstrum coefficient, a filter bank coefficient, a linear prediction coefficient and short-time average energy of each frame of audio data and stores the Mel-frequency cepstrum coefficient, the filter bank coefficient, the linear prediction coefficient and the short-time average energy in the data storage module, and an identification model is further configured in the data storage module; and the data processor module is controlled by a preset control signal, and calls the recognition model for calculation based on the Mel-frequency cepstrum coefficient, the filter bank coefficient, the linear prediction coefficient and the short-time average energy so as to output a child snore monitoring result.

An embodiment according to the present invention includes an audio decoder configured to decode, from a data stream, a quantized spectrum, a spectral envelope representation based on linear prediction coefficients, and a fundamental frequency related parameter for a predetermined frame of successive frames. The decoder is configured to determine a spectral shaping function from a spectral envelope representation based on linear prediction coefficients using a first manner below a fundamental tone frequency determined from the fundamental frequency related parameters and a second manner above the fundamental tone frequency, to spectrally shape the quantized spectrum using the spectral shaping function to obtain a dequantized spectrum, and to decode the dequantized spectrum using the dequantized spectrum. And reconstructing the predetermined frame using the dequantized spectrum. Furthermore, the audio decoder is configured such that, if the pitch frequency is spectrally higher than a predetermined spectral position, the spectral shaping function is lower at the predetermined spectral position than if the pitch frequency is spectrally lower than the predetermined spectral position. A decoder, an encoder, and a method are also disclosed.

The invention provides a control method of a liquid cooling system and electronic equipment, and can be applied to the technical field of heat dissipation. The control method of the liquid cooling system comprises the following steps: determining load grade information of electronic equipment in a target time period according to performance index data of the electronic equipment in the target time period; preprocessing the target data to obtain a plurality of sub-target data frames; performing linear predictive coding on the plurality of sub-target data frames to obtain a plurality of sub-linear predictive coefficients; based on the load level information, matching reference data from a preset health reference library; comparing the plurality of sub-target data frames and the plurality of sub-linear prediction coefficients with the matched reference data, and determining residual energy and coefficient distance corresponding to the target data; and determining a health index based on the residual energy and the coefficient distance corresponding to the target data, and generating early warning information based on the health index and a preset health threshold, the early warning information being used for prompting to perform a control operation corresponding to the early warning information on the liquid cooling system.

A coding method and a decoding method are provided which can use in combination a predictive coding and decoding method which is a coding and decoding method that can accurately express coefficients which are convertible into linear prediction coefficients with a small code amount and a coding and decoding method that can obtain correctly, by decoding, coefficients which are convertible into linear prediction coefficients of the present frame if a linear prediction coefficient code of the present frame is correctly input to a decoding device. A coding device includes: a predictive coding unit that obtains a first code by coding a differential vector formed of differentials between a vector of coefficients which are convertible into linear prediction coefficients of more than one order of the present frame and a prediction vector containing at least a predicted vector from a past frame, and obtains a quantization differential vector corresponding to the first code; and a non-predictive coding unit that generates a second code by coding a correction vector which is formed of differentials between the vector of the coefficients which are convertible into the linear prediction coefficients of more than one order of the present frame and the quantization differential vector or formed of some of elements of the differentials.

This application provides a control method and electronic device for a liquid cooling system, which can be applied to the field of heat dissipation technology. The control method includes: determining the load level information of the electronic device within a target time period based on performance index data; preprocessing the target data to obtain multiple sub-target data frames; performing linear prediction encoding on each of the multiple sub-target data frames to obtain multiple sub-linear prediction coefficients; matching benchmark data from a preset health benchmark library based on the load level information; comparing the multiple sub-target data frames and multiple sub-linear prediction coefficients with the matched benchmark data to determine the residual energy and coefficient distance corresponding to the target data; determining health indicators based on the residual energy and coefficient distance corresponding to the target data; generating early warning information based on the health indicators and a preset health threshold; and using the early warning information to prompt control operations corresponding to the early warning information on the liquid cooling system.