At first, it quantizes the image coefficient vector gotten from DWT with the lattice vector quantization technology, then imbeds the watermark signal into the coefficient.
该算法先通过格矢量量化技术对经dWT变换后的宿主图像的系数矢量进行格矢量量化，然后将水印信号嵌入到量化后的系数中。
In this paper, a new scheme of vector quantization is described to reduce the effect of error propagation.
为了降低误差积累的影响，本文提出了一种新型的矢量量化方法。
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。
Through the discussion of vector quantization parameter's choice, the result that for medium vocabulary speech recognition, the codebook capacity should be 64 or 128 is made.
通过矢量量化参数选取的讨论，得到对于中等词汇量的语言识别，矢量量化的码本大小应为64或128的结论。
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。
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。
A fast algorithm of encoding and codebook designing for vector quantization is proposed.
提出了一种矢量量化码书设计及编码的快速算法。
This method is based on the techniques of block truncation coding and vector quantization.
该方法是以分块截断编码技术和矢量量化技术为基础的编码方法。
And this paper classifies the popular methods, the main ideas are as follows: edge preserving, vector quantization, wavelet transform, interpolation kernel, Fractal technology and edge model.
本文对目前流行的各种方法进行了归类，主要思想有：边缘保持、矢量量化、小波变换、插值核、分形技术以及边缘模型。
Nowadays, wavelet transform, vector quantization and embedded encoding has been the primary technique and study focus for image compression, to which people attach their more importance.
目前，小波变换、矢量量化以及嵌入式编码已经成为图像压缩的主要技术及研究热点，越来越受到重视。
To tackle the derailment phenomenon consisting in side-match vector quantization image coding technology, we introduced support vector machine.
针对边缘匹配矢量量化图像编码方法存在的出轨现象，提出一种引入支持向量机的方法。
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。
The learning vector quantization neural network has been integrated successfully with the case-based reasoning approach to reduce the case indexing space and to enhance the indexing efficiency.
将学习矢量量化神经网络集成在基于实例推理的故障诊断方法中，减小了实例搜索空间，提高了实例检索效率。
Objective: to investigate the potential of learning vector quantization (LVQ) artificial neural network tools for discrimination and forecasting of occurrent intensity of typhoid and paratyphoid.
目的：探讨学习矢量量化(LVQ)人工神经网络在伤寒、副伤寒发生强度判别与预测中的应用。
LBG algorithm is a classical algorithm for vector quantization.
LBG算法是矢量量化码书设计的经典算法。
The computation of vector quantization which is mainly depending on the search of the nearest codeword is the main barrier of practicalization of vector quantization.
矢量量化的计算量主要在于搜索最近的码字，这也是矢量量化实用化的主要障碍。
This paper presents a modified diagonal based fast correlation vector quantization algorithm (MDFCVQ).
本文提出了改进的基于对角线相关矢量量化编码算法。
A fast search algorithm was developed to reduce the computing load for vector quantization.
为了进一步降低矢量量化的运算量，提出了一种新的快速搜索算法。
The application of neural network vector quantization in speech encoding is discussed.
讨论了在语音编码中，应用神经网络技术进行矢量量化的算法。
This paper presents a small target infrared image compression scheme based on classified vector quantization.
本文提出了一种基于分类矢量量化器的小目标红外图像的压缩方法。
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。
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。
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。
The principle of fuzzy vector quantization (FVQ) for image coding is discussed in this paper, and an exponential fuzzy learning vector quantization algorithm (EFLVQ) is proposed.
本文分析了模糊矢量量化(FVQ)图像编码的原理，提出了一种指数型模糊学习矢量量化算法(EFLVQ)。
So this paper USES MSSVQ as the vector quantization technique for coding.
因此本文使用MSSVQ作为矢量量化技术来进行编码。
In this paper, an improved treestructured vector quantization algorithm, based on treestructured quantization is introduced.
本文在研究树形矢量量化的基础上提出了一种改进的树形矢量量化编码算法。
Vector quantization, which has been applied successfully in the image coding, is more efficient than scale quantization.
矢量量化优于标量量化。它已成功地应用于图象的数据压缩。
Vector quantization, which has been applied successfully in the image coding, is more efficient than scale quantization.
矢量量化优于标量量化。它已成功地应用于图象的数据压缩。
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