vector quantization

K means algorithm applied in vector quantization strongly depends on the selection of the initial codebook, and if not given a good initial codebook it can easily be trapped in local minima.

由于传统的K-均值算法在用于矢量量化时强烈依赖初始码书的选取，如果初始码书选取不好，则很容易陷入局部最小点；

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An Image Segmentation Method Based on the Generalized Image and Vector Quantization

基于广义图像与矢量量化的图像分割方法

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Wavelet transform and vector quantization both are important tools of modern image coding.

小波变换和矢量量化都是现代图像编码领域的重要工具.

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A New Approach for Vector Quantization Based on Kohonen Neural Network

一种新的基于Kohonen网络的图像矢量量化

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The realization of the two improved methods in wavelet domain is researched. Another improved method, which combined wavelet transform with the optimal Nonlinear Interpolative Vector Quantization ( NLIVQ), is also researched.

并探讨了这两种改进算法在小波变换域的一种实现方案，最后给出了一种结合小波变换和非线性插补矢量量化（NLIVQ）的编码方案。

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As one method of image lossy compression vector quantization has great compression ratio.

作为图像有损压缩的方法之一,矢量量化的压缩比极大.

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Abstract A new vector quantization watermarking algorithm was proposed.

摘要提出了一种基于蚁群算法优化的矢量量化水印算法.

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Speaker Recognition Using Vector Quantization Technique and Hidden Markov Model Afterword

应用矢量量化技术与隐马尔可夫模型进行话者辨认

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Image vector quantization is an important method in the image compression field.

矢量量化是图像压缩的重要方法。

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At the same time vector quantization is also a process with a lot of computing, but with some ameliorative algorithms, vector quantization has become more and more maturational.

同时，矢量量化也是一个大量计算的过程，随着一些改进算法的提出，矢量量化技术越来越成熟。

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Finally, the simulation experiments are showed that compared with JPEG algorithm the new method reduces 15.54% of the code rate and saves 8.3% of operation time. The DCT compression coding system with vector quantization has been studied here.

最后，经过仿真实验证明，与JPEG编码结果比较，在保证几何精度和图像视觉质量不衰减情况下，新的算法减少码率15.54%和运算时间8.3%。

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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.

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Vector quantization of wavelet transformation based on genetic annealing algorithm

基于遗传退火的小波变换矢量量化方法

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Typical vector quantization method and encoding scheme based on wavelet transform

基于小波变换的典型矢量量化方法和编码方案

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Financial Failure Prediction Based on Learning Vector Quantization

基于学习矢量量化算法的财务失败预测研究

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While, the method based on vector quantization is relatively simple and real-time.

同时，基于矢量量化的方法比较简单，实时性也较好。

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A new fuzzy k-nearest neighbor codebook design algorithm of vector quantization

一种新的模糊K邻域矢量量化码本设计算法

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Vector Quantization ( VQ) is an important technology in the field of image compression, which is widely used in various applications such as speech coding, audio and video compression, and teleconferencing systems.

矢量量化（VQ）是近年来图像压缩研究中的重要技术，广泛应用于语音编码、音视频压缩和远程会议等系统中。

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They are Vector Quantization ( VQ), Hidden Markov Models ( HMM) and Gaussian Mixture Models ( GMM) speaker identification respectively.

采用的方法分别是矢量量化（VQ）识别方法、隐马尔可夫模型（HMM）识别方法、高斯混合模型（GMM）识别方法。

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Delay Quantization over Networks Inducement and Augmented Plant Vector Method

网络诱导延迟的量子化和增广对象向量方法

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A Video Coding Algorithm Based on Wavelet and Lower Complexity Vector Quantization

一种基于小波和低复杂度矢量量化的视频编码算法

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Chinese Four Tones Recognition Based on Special Vector Quantization Codebook Approach

基于专用矢量量化码本方案的汉语语音的四声调识别

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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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( 2) Dynamic Time Warping, Vector Quantization, Hidden Markov Model and Artificial Neural Network can be used in speaker recognition.

现有的说话人识别方法有动态时间规整法、矢量量化法、隐马尔可夫模型和神经网络法等，其中HMM已成为目前最佳的说话人识别处理模型。

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A Compression Ratio Adaptive Algorithm for Vector Quantization

一种压缩比自适应的快速矢量量化算法

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Image Vector Quantization by Using Modified Self Organizing Feature Maps Algorithm

改进的自组织特征映射算法及其在图像矢量量化中的应用

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Remote sensing image classification based on hybrid learning vector quantization algorithm

基于混合学习矢量量化算法的遥感影像分类

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Interpolative vector quantization for image coding

内插矢量量化图象编码

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This paper presents a new strategy of particle-pair ( PP ) for vector quantization ( VQ ) in image coding.

本文给出了一种新的图像矢量量化码书的优化设计方法——粒子对算法.

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The algorithm assumes that the LSF parameter has a GMM Gaussian distribution so that the LSF vector can be quantized using a random Gaussian distribution vector quantization.

假设LSF矢量属于GMM中的某一个Gaussian分布，用Gaussian分布随机矢量的量化方法对LSF矢量进行了量化。

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