The adaptive codebook search is one of the key component in the 3g s speech standard AMR.
自适应码本搜索算法是3g移动通信标准amr的重要组成。
Codebook design algorithms based on tabu search (TS) approach are presented for vector quantization (VQ).
本文提出了基于改进禁止搜索(TS)算法的矢量量化(VQ)码书设计方法。
Tests show that the proposed two algorithms based on the tabu search approach can greatly improve the codebook performance compared to the conventional LBG algorithm.
结果表明,基于禁止搜索的两种码书设计方案所生成的码书性能都比LBG算法有明显提高。
The larger the codebook size or the vector dimension is, the higher the computational complexity of the full-search VQ is.
码书大小和矢量维数越大,穷尽搜索矢量量化编码的计算复杂度就越高。
The larger the codebook size or the vector dimension is, the higher the computational complexity of the full-search VQ is.
码书大小和矢量维数越大,穷尽搜索矢量量化编码的计算复杂度就越高。
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