Signal processing method and device

Abstract

Embodiments of the present invention provide a method and device for processing signals. The method includes: selecting M subbands from N subbands, the N subbands are obtained by dividing the spectral coefficients of the current frame of the signal, and the frequency bands of the M subbands are lower than the K subbands except the M subbands in the N subbands The frequency band of the band; according to the performance information of the M sub-bands, it is determined to perform a correction operation on the original envelope values ​​​​of the M sub-bands, and the performance information is used to indicate the energy characteristics and spectral characteristics of the M sub-bands; the original envelopes of the M sub-bands are respectively Values ​​are corrected to obtain the modified envelope values ​​of the M subbands; according to the modified envelope values ​​of the M subbands and the original envelope values ​​of the K subbands, a bit allocation is performed on the N subbands once. The embodiments of the present invention make the bit allocation more in line with the bit requirements of each sub-band, thereby improving the performance of encoding and decoding signals.

Description

technical field [0001] The present invention relates to the field of signal processing, and in particular, to a method and device for processing signals. 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 frequency domain coding algorithm, the bits are usually directly allocated to each subband of the signal according to the size of the frequency domain envelope, and then each subband is encoded using the number of allocated bits. However, practice has shown that in these existing coding algorithms, the sub-bands in the low-frequency band have a great influence on the signal coding quality, so the sub-bands in the low-frequency band often become the bottleneck of signal coding performance, and the above-mentioned bit allocation method cannot be well adapted to The bit requirements of ea...

AI Technical Summary

Problems solved by technology

However, practice has shown that in these existing coding algorithms, the sub-bands in the low-frequency band have a great influence on the signal coding quality, so the sub-bands in the low-frequency band often become the bottleneck of signal coding performance, and the above-mentioned bit allocation method cannot be well adapted to Match the bit requirements of each sub-band, especially the sub-band of the low frequency band, resulting in poor coding quality of the signal

Correspondingly, the decoding performance of the signal is also poor

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