Pulse coding method and device, and pulse decoding method and device

Abstract

The present invention relates to the field of encoding and decoding technologies, and discloses a method and a device for pulse encoding, and a method and a device for pulse decoding. The method for pulse encoding includes: calculating an index value of an input pulse; selecting an adjustment threshold value according to the number of pulses, and comparing the index value of the pulse with the adjustment threshold value; if the index value is smaller than the adjustment threshold value, adopting the first number of encoding bits to encode the index value, if the index value is not smaller than the adjustment threshold value, adopting the second number of encoding bits to encode the index value plus an offset value, where the first number is smaller than the second number, the first number and the second number are both positive integers, and the offset value is greater than or equal to the adjustment threshold value. By adopting the present invention, encoding bits can be saved, and encoding efficiency can be improved.

Description

technical field [0001] The present invention relates to encoding and decoding technology, in particular to a pulse encoding method and device, and a pulse decoding method and device. Background technique [0002] In the field of speech coding, the speech coder based on the Code Excited Linear Prediction Coding (CELP: Code Excited Linear Prediction) model is the most widely used. Compared with other types of speech coders, it can obtain better Voice quality, and in the case of high bit rate, the performance is still excellent. In the CELP model, as the simulation of the excitation signal, the adaptive codebook and the fixed codebook play a very important role. Among them, the role of the adaptive filter is to remove the long-term correlation in the speech residual signal. After the long-term correlation is removed, the speech residual signal has become like white noise. Therefore, for the target signal of the fixed codebook Effective quantification appears to be more diffic...

AI Technical Summary

Problems solved by technology

There are still 547328 numbers from 1549824 to 2^21-1, so about 26.1% of the space is wasted, thus wasting coding bits, resulting in low coding efficiency

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