VQ codebook design is essentially a classification of training vectors.
矢量量化码书设计本质是搜索训练矢量的最佳分类。
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。
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。
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。
Thus improving the performance of the algorithms. Experimental results show that applying AGA to image VQ codebook design is computationally simpler and has a strong clustering abl...
实验结果表明，将自适应遗传算法用于码本设计，具有运算简单、聚类能力强等优点，有着广泛的应用前景。
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。
First, the algorithm is used to design the codebook of the speech coding parameters.
首先，采用改进的模拟退火算法设计语音编码参数矢量量化码本。
The experimental results show that the introduction of similarity probabilities can improve speech recognition and it is unnecessary to design a codebook as large as 256 codewords.
实验结果表明相似概率的引入有利于进一步提高语音识别率，同时发现大小为256个码字的码本是不必要的。
Finally, in split vector quantization based on LCT research, split vector quantization is adopted to quantize LCT transform coefficients and to design the codebook.
最后，在基于局部余弦变换的分维矢量量化的研究中，对LCT变换系数采用分维矢量量化的方式进行码书设计。
However, the design for codebook yet strongly depends on the selection of the initial codebook, and it can easily be trapped in local minima, they seem to be much slow and little robust.
但目前的码本设计算法仍存在局部最佳、强烈依赖于初始码本的选取、鲁棒性较差和算法收敛较慢等问题。
Computer simulations show that the training speed of codebook is quickened by the new design algorithm and the complexity of vector quantizer is reduced.
计算机模拟结果表明，新算法明显缩减了码本训练时间、提高了矢量量化的速度。
Computer simulations show that the training speed of codebook is quickened by the new design algorithm and the complexity of vector quantizer is reduced.
计算机模拟结果表明，新算法明显缩减了码本训练时间、提高了矢量量化的速度。
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