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。
Vector Quantization is an effective data compression technology.
矢量量化是一种有效的数据压缩技术。
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。
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。
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。
Because of using the technology of Vector Quantization, the rate of the code is low.
由于利用了矢量量化技术，所以该编码速率较低。
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。
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。
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。
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。
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。
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。
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。
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。
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。
In this paper, an image encryption algorithm based on chaotic mapping and vector quantization is presented.
提出了混沌映射与矢量码书相结合的加密算法。
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。
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。
The methods for both color quantization and color spatial vector quantization using palette are studied in this paper.
本文研究了用调色板技术进行色彩量化和彩色空间量化的方法。
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。
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。
Finally, a more useful geometric vector quantization method is presented, which is called scalar vector quantization (SVQ).
最后，针对几何分布不规则的一般信源，给出一般的几何矢量量化方法———标量矢量量化(SVQ)。
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。
This paper presents a new SAR raw data compression algorithm named Normalized Adaptive Predictive Vector Quantization (NAPVQ).
该文提出归一化自适应预测矢量量化(NAPVQ)算法压缩sar原始数据。
Several new algorithms of fuzzy C-mean clustering with the combination of vector quantization are proposed for speaker identification.
该文提出了一种将模糊C -均值聚类法的各种改进算法与矢量量化法相结合的说话人辨认的新方法。
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 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。
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。
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