Vector Quantization(VQ)is one of the popular codebook design methods for text-independent speaker identification.
矢量量化（VQ）方法是文本无关说话人识别中广泛应用的建模方法之一，它的主要问题是码本设计问题。
A codebook design method for a switched dual predictive multi stage vector quantization (DPMSVQ) scheme of LPC parameters.
提出了语音谱参数的切换双预测多级矢量量化算法(DPMSVQ)的码本设计方法。
This paper presents a codebook design method of an enhanced dual predictive multi-stage vector quantization (EDPMSVQ) scheme for LPC parameters.
文章提出了语音谱参数的增强双预测多级矢量量化算法(EDPMSVQ)的码本设计方法。
The new algorithm, including the sorting codebook design and the remains coding, greatly improves the objective level and the subjective visual impression.
新算法采用分类码书设计和残留编码，大大提高了图像的客观指标和主观视觉效果。
Vector Quantization (VQ) is one of the popular codebook design methods for text-independent speaker identification. The key problem of VQ is the design of codebook.
矢量量化(VQ)方法是文本无关说话人识别中广泛应用的建模方法之一，它的主要问题是码本设计问题。
An optimized VQ codebook design algorithm of image compression is introduced in this paper.
提出了一种针对码书优化的图像矢量量化算法。
In the process of codebook design, traditional LBG algorithm owns the advantage of fast convergence, but it is easy to get the local optimal result and be influenced by initial codebook.
在矢量量化的码本设计过程中，经典的LBG算法收敛速度快，但极易陷入局部最优，且初始码本的生成对最佳码本的设计影响很大。
In vector quantization, the initial codebook design influences or determines The Times of iteration of codebook training method and the quality of codebook. So it is very important for VQ codebook.
矢量量化的初始码书设计是很重要的，影响或决定着其后码书形成算法的迭代次数和最终的码书质量。
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。
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。
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