An implementation method and device for grid vector quantification coding

Abstract

The invention relates to a method and a device of realizing lattice vector quantifies coding and decoding. Mainly in a method of the lattice vector quantifying coding and decoding, a new basic code book is selected out and directly or indirectly comprises all points whose value is less than or equal to 3 of any dimension in a RE<8> point set, and points on a fourth grade hypersphere in the basic code book are all odd points so that part of nearest adjoint point values can be comprised in the basic code book only via corresponding odd number processing. The capacity of the basic code book selected out in the invention embodiment is further enlarged, and at the same time, vector quantization Leader number in the selected basic code book is further reduced compared with an amount of code words of basic code book in existing technique, so that occupancy of memory space of a quanxtizer is reduced and a speed of searching for the basic code book is greatly improved.

Description

technical field [0001] The present invention relates to the technical field of encoding and decoding, in particular to an implementation scheme of encoding and decoding with appropriate lattice quantization. Background technique [0002] With the rapid development of multimedia services, it is not only necessary to improve the efficiency and real-time performance of encoding, but also to expand the encoding bandwidth for services such as audio. At present, the encoding methods used mainly include: HEAAC (High-Efficiency Advance Audio Coding, high-efficiency advanced audio coding), EAAC+ (Enhanced Advance Audio Coding plus, enhanced advanced audio coding) and AMR-WB+ (Adaptive MultiRate WideBand plus, adaptive Multi-rate wideband) coding, in which HEAAC and EAAC+ are extended from high-bit-rate audio encoders, and AMR-WB+ is a hybrid coding method formed by extending low-bit-rate speech coding. [0003] Usually, in the audio coding process, in order to better combine some ch...

AI Technical Summary

Problems solved by technology

[0043] In the AMR-WB+ audio coding process, in order to enable more input vectors to be quantized by the basic codebook, the number of feature codewords contained in the basic codebook is relatively large, which makes the complexity of the encoding and decoding quantization process and quantization increased memory space requirements

At the same time, due to the limitations of codebook capacity and codebook search complexity, some frequently used data cannot be included in the basic codebook, and the extended codebook is used to represent it, which increases the number of bits used in the quantization process.

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