本文提出了改进的基于对角线相关矢量量化编码算法。
This paper presents a modified diagonal based fast correlation vector quantization algorithm (MDFCVQ).
设计了一种新的线谱频率参数多级矢量量化编码方案。
A new multi-stage vector quantizer (MSVQ) of line spectral frequency parameters is designed.
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。
The larger the codebook size or the vector dimension is, the higher the computational complexity of the full-search VQ is.
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。
In this paper, an improved treestructured vector quantization algorithm, based on treestructured quantization is introduced.
由于该方法把分形和矢量量化编码结合起来，因此解码时只需查找码书，并仅进行对比度变换。
This method connects fractal and vector quantization coding together, during the process of decoding, the only need to check the codebook and to transform the contrast.
所做工作主要有两方面：一是矢量量化编码中的格型矢量量化，另一个是梅花型方向滤波器的提升实现。
The work can be mainly divided into two aspects: lattice vector quantization in vector quantization coding for images and the lifting realization of the quincunx directional filter banks.
本文提出一种粒子群分组并行寻优码书设计算法，应用于图像的矢量量化编码中，它可以得到性能较好的码书。
This paper presents swarm optimization algorithm based on a pair of parallel particles, which can be used to get a good codebook in the vector quantization of image coding.
采用特殊矢量量化编码，叫作小波树矢量量化(WTVQ)编码对每个谱象数据进行压缩，获得较高的压缩性能。
Then a special Vector Quantization, called Wavelet Tree Vector Quantization (WTVQ), is designed to compress the every spectral image data, and a higher compression performance is obtained.
对经典DCT变换和整数DCT变换进行研究，并把它们和有限状态矢量量化编码算法相结合，提高了对图像的压缩性能。
Combined with FSVQ algorithm, the traditional DCT transform and integer DCT transform are used to improve the performance of image compression.
误差图像进行分形矢量量化编码时，使用设计的自适应二维维纳数字滤波器，对收缩的均值图像进行滤波后，可构造好的码书。
When coding the erroneous image by fractal vector quantization, a self-adaptive 2-d wiener digital filter to filtrate the contracted mean value image, which can result into a good quality codebook.
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。
First, the algorithm is used to design the codebook of the speech coding parameters.
提出了一种矢量量化码书设计及编码的快速算法。
A fast algorithm of encoding and codebook designing for vector quantization is proposed.
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。
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.
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。
Vector Quantization (VQ) is one of popular data compression and data coding methods for speech recognition at present.
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。
To tackle the derailment phenomenon consisting in side-match vector quantization image coding technology, we introduced support vector machine.
由于利用了矢量量化技术，所以该编码速率较低。
Because of using the technology of Vector Quantization, the rate of the code is low.
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。
The application of neural network vector quantization in speech encoding is discussed.
因此本文使用MSSVQ作为矢量量化技术来进行编码。
So this paper USES MSSVQ as the vector quantization technique for coding.
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。
One of VQ image coding method used in the low frequency subband-the unbalanced tree-structured VQ is presented in this paper.
最后本文探讨了一种将基于结构特征的自适应分块与矢量量化相结合的编码方法。
At last, the adaptive vector quantization coding based on the DCT spectrum main orientation mentioned above is developed.
作为特征签名在重复图像检测方面的应用，基于多特征签名的重复图像检测方法改进了矢量量化过程中的编码映射方式。
As another application of feature signature, multi-signature based duplicate image detecting method improved the mapping and encoding during 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。
This method is based on the techniques of block truncation coding and vector quantization.
本文主要对语音编码中矢量量化码字搜索算法、语音增强、语音激活检测技术进行研究并进行了改进。
This paper mainly focuses on the research and improvement of the fast code word search algorithm, speech enhancement and voice activity detector key technologies.
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。
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).
在矢量量化和小波变换的结合方面，提出了一种基于视觉特性的小波变换跨带矢量量化压缩编码方案，并通过实验验证了算法的性能；
Based on the former two theories, we propose a wavelet transform cross-band vector quantization based on human vision, and we verify the correction with experimentation.
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)。
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.
然后，研究了空间复用MIMO - OFDM系统的预编码，提出了一种基于插值的矢量量化预编码方案。
Then, we study the precoding for space multiplexing MIMO-OFDM systems. Here, we propose an interpolation-based vector quantization precoding scheme.
通过对矢量量化快速码字搜索算法的VLSI结构的研究，为进一步设计更为详细和复杂的图象编码系统提供基础。
Through the research of VLSI architecture of fast codewords search algorithms, we can provide a foundation for the implementation of detailed and sophisticated image coding schemes in the future.
通过对矢量量化图像编码算法进行改进，达到低运算量，高压缩比以及稳定的图像质量的目的。
The algorithm of VQ must be improved to reducing amount of calculation, increasing compression rate and steadying the quality of rebuilt image at same time.
通过对矢量量化图像编码算法进行改进，达到低运算量，高压缩比以及稳定的图像质量的目的。
The algorithm of VQ must be improved to reducing amount of calculation, increasing compression rate and steadying the quality of rebuilt image at same time.
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