vector quantization中文是什么意思

• [网络] 向量量化；矢量量化；矢量化编码

• hvq hierarchical vector quantization    分层矢量量化
• lvq lattice vector quantization    点阵矢量量化
• lvq learning vector quantization    学习向量量化
• vq vector quantization    矢量量化，纹理压缩（加速芯片的功能）; 纹理压缩
• vqc vector quantization code    矢量量子化代码
• quantization    分层量子化把连续量转换为数字; 量化 在每个象素处，将图像的局部特性赋予一个灰度集合中的元素的过程。数字图象处理技术词汇表; 量化 在每一个像素处，将图像的局部特性赋予一个灰度集合中的元素的过程; 量化,分层,量子化; 量子化,量化(把连续量变为数字量),整量化; 量子化；数字化；分层; 量子化作用；分层; 取离散值
• adaptive quantization    自适应量化
• amplitude quantization    振幅量化
• binary quantization    二进制量化
• canonical quantization    二次量子化; 正则量子化
• charge quantization    电荷量子化
• conductance quantization    电导量子化
• differential quantization    差分量化
• digital quantization    数字量子化,数字量化
• dirac quantization    狄拉克量子化; 狄喇克量子化
• directional quantization    方向量子化
• field quantization    场量子化
• first quantization    一次量子化
• flux quantization    磁通量量子化
• geometric quantization    几何量子化
• imaging quantization    影像量化
• macroscopic quantization    宏观量子化
• measures of quantization    量化测量
• nonuniform quantization    非均匀量化
• phase quantization    相位量化

• Finally, in technique of image retrieval based on vector quantization, analyzed and compared scalar quantization, vector quantization and classified vector quantization using statistical features for the performances of image retrieval
  3、基于矢量量化的图象检索方法，研究对比了标量量化、矢量量化以及分类矢量量化等不同量化方法及其统计特征量用于图象检索的性能。
• Finally, in technique of image retrieval based on vector quantization, analyzed and compared scalar quantization, vector quantization and classified vector quantization using statistical features for the performances of image retrieval
  3、基于矢量量化的图象检索方法，研究对比了标量量化、矢量量化以及分类矢量量化等不同量化方法及其统计特征量用于图象检索的性能。
• This algorithm combined joint-component vector quantization respectively with zero block and zero tree coding, scanned three component of color image separately and simplified separate coding into joint scanning and joint encoding
  该方法将联合色彩分量矢量量化和零块、零树编码方法巧妙结合，把彩色图像的三个色彩分量单独扫描，单独编码的过程简化为联合扫描和联合编码的过程。
• The main research work and contributions of this thesis are as follows : the thesis first makes a systematical review of the related key techniques, including the basic concepts and principles of the digital watermarking and vector quantization techniques
  主要研究工作如下:系统地综述了和本课题研究内容相关的关键技术,包括数字水印技术和矢量量化技术的基本概念和基本原理。
• The essence and the function of these features is focused in this chapter . chapter 3 introduces the basic algorithm of melp vocoders, and some advanced skills such as muti-stage vector quantization and super resolution pitch detect algorithm . chapter 4 utilizes the analysis platform to
  第四章利用在matlab上搭建的分析平台上对语音信号进行了编解码的试验，分析了melp声码器的各种特征在语音编码中起到的作用。
• In section two, we introduce some of the main coding theories that was in the g . 729, including the digital model of the production of speech signal, the linear prediction coding, vector quantization, lbg arithmetic and perceptual weighted filtering
  第二章着重讨论了g729语音压缩协议中所涉及到的语音编码基础理论。主要包括语音信号产生的数字模型、语音信号的线性预测分析、矢量量化及其lbg算法和感知加权滤波器。
• Following is the main work of this thesis : 1 . after researching on the basic theory of speech recognition, this thesis realizes talker-independent recognizer and speaker identification system with dtw ( dynamic time warping ) and vq ( vector quantization ) algorithm respectively
  本文的主要研究工作如下:1.在研究语音识别的一些基本理论基础上,分别采用dtw和vq两种识别算法实现了非特定人孤立词识别系统和说话人辨认系统。
• Secondly, a multilayered neural network trained with a learning vector quantization ( lvq ) algorithm is applied to pattern recognition of manifestations of the pulse and the classification ability of lvq network is compared with traditional near neighbor algorithm
  其次，本文根据脉图的时域特征，采用学习矢量量化算法，训练文中确立的神经网络分类器，用以实现对脉图的识别。并比较了lvq神经网络分类器与传统近邻法的分类性能。
• We start with the theory of vector quantization, and come on with the application of of v . q . technics on image processing . fist we developed a codebook creation algorithm based on the partial distortion theorem, which has greatly improved the quality of the initial codebook
  我们采用理论与应用相结合的办法，从矢量量化的一些基本问题入手，克服其明显的缺点，辅助以其它高效的手段来使矢量量化技术从纯理论的研究走向实际的应用。
• This chapter first introduces the principium of trellis coded vector quantization, then focuses on analyzing the algorithm of wavelet image classified weighted tcvq and its realization process, also gives tcvq application to wavelet image coding and its simulation results
  首先分析了网格编码矢量量化的原理，在第三章矢量量化的基础上详细介绍了小波图像分类加权tcvq算法的原理和实现过程，并给出了tcvq在小波图像量化中的应用实例和仿真结果。

• vector quantizationとは意味：ベクトル量子化｛りょうしか｝