The vq parameter, which specifies a URL-encoded search term
vq参数指定一个URL 编码的搜索条件
Vector quantization (VQ) is an efficient data compression technique.
矢量量化(VQ)是一种有效的数据压缩技术。
Vector quantization (VQ) is an efficient approach of lossy data compression.
矢量量化(VQ)是一种高效的有损压缩技术。
The result of experiments shows that the complexity of VQ has been greatly reduced.
实验结果证明，该算法可以降低矢量量化的复杂度。
Vector quantization (VQ) is always more powerful than scalar quantization in theory.
在理论上上矢量量化的性能总是优于标量量化。
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。
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。
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。
Now we introduce trajectory model in speaker recognition and improve the codebook training algorithm for VQ.
文章把轨线模型应用于说话人识别，同时对VQ模型的电码本训练算法进行了改进。
Self-organizing neural network is a very efficient method for pattern recognition and vector quantization(VQ).
为有效提高矢量量化码书的性能和学习效率，需进一步改进自组织神经网络的学习算法。
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。
This paper presents systematically fast search algorithms in VQ, and an efficient search algorithm is introduced.
本文系统地总结了矢量量化中的快速搜索算法，并在此基础上给出了一种有效的快速算法。
VQ (Vector Quantization) technique is widely used in text-dependent and text-independent speaker recognition systems.
矢量量化(VQ)技术在话者识别系统中得到了广泛的应用。
Vector Quantization (VQ) is one of popular data compression and data coding methods for speech recognition at present.
矢量量化(VQ)是语音识别中广泛应用的一种数据压缩和编码方法。
An evolutionary algorithm based channel-optimized VQ (COVQ) design algorithm on noisy channel is presented in the paper.
本文提出了一个基于进化算法的信道最优矢量量化器(COVQ)设计算法。
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。
One of VQ image coding method used in the low frequency subband-the unbalanced tree-structured VQ is presented in this paper.
文章介绍一种图像低频子带编码的矢量量化方法—非对称树结构矢量量化。
In this article, a new ECG compression method applying 2-step vector quantization (VQ) on DCT coefficients of ECG data was introduced.
本研究提出了一种新的心电信号压缩方法，该方法对心电数据进行离散余弦变换(DCT)并对DCT变换的结果进行二级矢量量化。
In this paper, the grey theory is applied to a two-layer Modify Competitive Learning Network (MCLN) in order to generate optimal solution for VQ.
本篇论文中，灰色理论被应用到一个两层的修正竞争式学习网路上。
Base on it, a new fast VQ search algorithm using Energy Band Segmentation is presented, which is recommended in the actual satellite codec system.
以此为研究背景，提出了一种新的基于能量分级的快速VQ搜索算法，并应用于实际卫星编解码系统中。
The evolutionary algorithm is introduced into the design of COVQ to achieve a significant improvement of VQ performance for a given noisy channel status model.
该算法在给定信道状态模型和存在信道噪声的情况下，可以有效地提高矢量量化器的性能，实现了信道最优矢量量化器的设计。
Because of its features which include simple operation procedure and so on, speaker recognition based on VQ is widely applied to the field of speaker recognition.
基于矢量量化的说话人识别，因其运算过程简单等特点，在说话人识别领域有着广泛的应用。
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。
Firstly silence and non-silence are classified based on threshold judging and then VQ-GMM is used to further classify non-silence into speech, music and background.
首先通过阈值判决区分静音和非静音，然后利用VQ-GMM分类器将非静音进而分为语音、音乐和环境背景音。
To improve the performance of speaker recognition in the condition of noise and little speech data, feature parameters were studied based on the Vector Quantization (VQ).
为了使说话人识别系统在语音较短和存在噪声的环境下也具有较高的识别率，基于矢量量化识别算法，对提取的特征参数进行研究。
This paper presents a new VQ method with different dimensions to vowels and consonants based on the quasi - periodicity of neighbour vowels which leads to strong correlations.
根据准周期性的韵母相邻周期具有很强相关性的特点，本文提出一种分别对声母和韵母采取不同维数的矢量量化的方法。
The algorithm achieves a significant improvement of COVQ performance for a given noisy channel status model over other conventional VQ design methods, as confirmed by experimental results.
采用该算法，在给定信道状态模型和信道噪声情况下，可有效地提高矢量量化器的性能，仿真实验结果表明该算法可获得比传统算法更优的性能增益。
Image compression is one of the most important key techniques in image processing. Traditional compression methods include prediction coding, transform coding and vector quantization (VQ).
图像压缩是数字图像处理中最重要的关键技术之一，传统的图像压缩方法有预测编码、变换编码和矢量量化等。
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。
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。
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