Signal encoding and decoding method and device

Abstract

Embodiments of the present invention provide signal encoding and decoding methods and equipment. The method includes: determining the number k of subbands to be encoded according to the number of available bits and the first saturation threshold i, wherein i is a positive number and k is a positive integer; selecting k from each subband according to the quantized envelope of each subband sub-bands, or select k sub-bands from each sub-band according to the psychoacoustic model; perform an encoding operation on the spectral coefficients of the k sub-bands. In the embodiment of the present invention, by determining the number k of subbands to be encoded according to the number of available bits and the first saturation threshold, and selecting k subbands from each subband for encoding instead of encoding the entire frequency band, the decoding can be reduced. The spectral hole of the signal can improve the auditory quality of the output signal.

Description

technical field [0001] The present invention relates to the field of signal processing, and in particular, to signal encoding and decoding methods and devices. Background technique [0002] The current communication transmission pays more and more attention to the quality of voice or audio signal, so the requirements for signal coding and decoding are also getting higher and higher. In the existing medium and low rate signal coding and decoding algorithms, due to the insufficient number of bits available for allocation, when the number of bits available for allocation is allocated in the entire frequency band, there will be many holes in the frequency spectrum, and some even A vector of all 0s also needs to waste 1 bit for representation. In addition, due to certain limitations of these algorithms, there may still be some bits remaining after encoding, which again causes a waste of bits. As a result, the quality of the signal decoded by the decoder is not good. Contents ...

AI Technical Summary

Problems solved by technology

In the existing medium and low rate signal coding and decoding algorithms, due to the insufficient number of bits available for allocation, when the number of bits available for allocation is allocated in the entire frequency band, there will be many holes in the frequency spectrum, and some even A vector of all 0s also needs to waste 1 bit to represent

In addition, due to certain limitations of these algorithms, there may be a certain number of bits remaining after encoding, which in turn causes a waste of bits.

As a result, the quality of the signal decoded by the decoder is not good.

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