48results about How to "Improve Quantization Efficiency" patented technology

An apparatus determining a weighting function for line prediction coding coefficients quantization converts a linear prediction coding (LPC) coefficient of an input signal into one of a line spectral frequency (LSF) coefficient and an immitance spectral frequency (ISF) coefficient and determines a weighting function associated with one of an importance of the ISF coefficient and importance of the LSF coefficient using one of the converted ISF coefficient and the converted LSF coefficient.

A speech compression apparatus including: a first band-transform unit transforming a wideband speech signal to a narrowband low-band speech signal; a narrowband speech compressor compressing the narrowband low-band speech signal and outputting a result of the compressing as a low-band speech packet; a decompression unit decompressing the low-band speech packet and obtaining a decompressed wideband low-band speech signal; an error detection unit detecting an error signal that corresponds to a difference between the wideband speech signal and the decompressed wideband low-band speech signal; and a high-band speech compression unit compressing the error signal and a high-band speech signal of the wideband speech signal and outputting the result of the compressing as a high-band speech packet.

Proposed is a method and apparatus for determining a weighting function for quantizing a linear predictive coding (LPC) coefficient and having a low complexity. The weighting function determination apparatus may convert an LPC coefficient of a mid-subframe of an input signal to one of a immitance spectral frequency (ISF) coefficient and a line spectral frequency (LSF) coefficient, and may determine a weighting function associated with an importance of the ISF coefficient or the LSF coefficient based on the converted ISF coefficient or LSF coefficient.

A weighting function determination method includes obtaining a line spectral frequency (LSF) coefficient or an immitance spectral frequency (ISF) coefficient from a linear predictive coding (LPC) coefficient of an input signal and determining a weighting function by combining a first weighting function based on spectral analysis information and a second weighting function based on position information of the LSF coefficient or the ISF coefficient.

The invention provides a data processing method of a neural network processor and a neural network processor. The method includes the following steps that: input data and corresponding weight absolute values are added together through an adder, wherein the input data are data of the output of a previous stage, and the input data and the weight absolute values are n-element vectors; and n-term data obtained after adding the input data and the corresponding weight absolute values together are subjected to n times of first nonlinear mapping; results obtained after the first nonlinear mapping are subjected to n times of accumulation operation through an accumulator, wherein the accumulation operation includes weight sign bit-controlled adding operation and subtraction operation; and a result obtained after the n times of accumulation operation is subjected to second nonlinear mapping, so that a processing result can be obtained, and data output is carried out, wherein the second nonlinear mapping is formulated according to the rules of neural network nonlinear mapping and the inverse mapping of the first nonlinear mapping. With the method adopted, quantization efficiency can be improved, and storage requirements and bandwidth requirements of data can be decreased.

A speech signal compression and / or decompression method, medium, and apparatus in which the speech signal is transformed into the frequency domain for quantizing and dequantizing information of frequency coefficients. The speech signal compression apparatus includes a transform unit to transform a speech signal into the frequency domain and obtain frequency coefficients, a magnitude quantization unit to transform magnitudes of the frequency coefficients, quantize the transformed magnitudes and obtain magnitude quantization indices, a sign quantization unit to quantize signs of the frequency coefficients and obtain sign quantization indices, and a packetizing unit to generate the magnitude and sign quantization indices as a speech packet.

The invention discloses a method and a device for feeding back channel quantitative information. The method comprises the following steps that: a receiving end processes a first codebook by using channel-related information to obtain a second codebook and transmits the indication information corresponding to a code word in the second codebook to a transmitting end, wherein the vectors consisting of the former X elements of each code word in the first codebook are different from one another; the element in the code word meets the characteristic of 8PSK or 16PSK; and Nt is the number of transmitting antennas at the transmitting end and an operator which is rounded up. The method and the device reduce the level of similarity of the code word in the codebook (CB), increase the distance between every two code words and improve the quantization efficiency.

The embodiment of the invention provides a quantitative coding / decoding method and device, relating to the field of communication. The method and the device can effectively avoid error transmission caused by frame loss at the same time of reasonably removing inter-frame correlation and increasing the quantization efficiency so as to improve the robustness of errors and achieve better packet loss resistance. The method provided by the embodiment of the invention comprises the following steps of: performing non-inter-frame prediction quantization on a current frame to obtain a non-inter-frame prediction quantization result of the current frame; coding non-inter-frame prediction quantization index values distributed in the non-inter-frame prediction quantization process, and outputting the coded non-inter-frame prediction quantization index values to a decoding end; obtaining a prediction coefficient according to the non-inter-frame prediction quantization result of the current frame and at least one past frame; and quantizing the prediction coefficient, coding the coefficient quantization index values distributed in the quantization process, and outputting the coded coefficient quantization index values to the decoding end.