Method of optimizing LC3 encoder residual encoding and noise estimation encoding

Abstract

The invention discloses a method and system for optimizing LC3 encoder residual error encoding and noise estimation encoding, a storage medium and equipment and belongs to the technical field of audiocoding. The method comprises the following steps of: a spectrum quantization module operation step: obtaining a quantized spectrum coefficient original value according to a spectrum data sample and aquantized global gain parameter, performing fixed-point operation on the quantized spectrum coefficient original value and storing a fixed-point operation result, a residual error coding module operation step: loading a fixed-point operation result of the quantized spectrum coefficient original value and comparing the fixed-point operation result with a quantized spectrum data sample, and a noiselevel calculation module operation step: loading a fixed-point operation result of the quantized spectral coefficient original value, carrying out absolute value processing and carrying out pre-reduction operation. According to the application of the invention, repeated calculation in a complex process is reduced, the calculation amount of the encoder is reduced, the power consumption of the encoder is reduced, and the practical performance of the encoder is improved.

Description

technical field [0001] The present application relates to the technical field of audio coding, in particular to a method, system, storage medium and equipment for optimizing LC3 coder residual coding and noise estimation coding. Background technique [0002] In the prior art, mainstream bluetooth audio encoders include: SBC audio encoder, which is the most widely used according to the mandatory requirements of the A2DP protocol, and supported by all bluetooth audio devices, but the sound quality is general; AAC-LC audio encoder, whose sound quality is relatively high Good and widely used, many mainstream mobile phones support it, but compared with the SBC audio encoder, it takes up a lot of memory and has high computational complexity. Many Bluetooth devices are based on embedded platforms, with limited battery capacity and processor computing power. Poor and limited memory; aptX series audio encoders have better sound quality, but the bit rate is very high. aptX requires a ...

AI Technical Summary

Problems solved by technology

In the encoding and decoding process of the existing LC3 encoder audio encoder, there is a situation where the complex operation process is repeated, which increases the code rate of the unnecessary audio encoding and decoding, and at the same time increases the amount of calculation of the encoder and increases power consumption.

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