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

• The matching of the templates designs two kinds of solutions to solve it . dynamic time warping technique and vector quantization techniques are used in detecting real-time data
  本文为检出处理采用了两种方案,便于实时处理的动态时间规整和聚类的矢量量化技术。
• In the second chapter, researches celp that is the theory base of g . 729a standard . celp uses speech mathematical model, linear prediction and vector quantization
  729a标准的理论基础，它综合利用了语音信号的数学模型、语音信号的线性预测分析和矢量量化等技术。
• Correlation vector quantization ( vq ) is an effective technology for data compression . it is widely used in various image-coding systems because of its high compression ratio
  相关矢量量化是一种有效的数据压缩技术，因其具有较高的压缩率而被广泛应用于各种图像压缩编码系统中。
• The purpose of this study was to explore the effect of the different training samples, learning rate and numbers of hidden layers on the classified accuracy when using learning vector quantization to analysis
  摘要本研究采电脑模拟探讨不同训练范例样本数、学习速率及隐藏层个数对学习向量量化网路分类正确率之影响。
• It gives three effective coding schemes, firstly it reviews the fundamental theory of vector quantization and its current algorithms, then it analyzes and summarizes characteristics of wavelet image quantization with vq
  首先回顾了矢量量化的基本原理和一般算法，对小波变换结合矢量量化技术的特点作出分析和总结。
• The purpose of this study was to explore the effect of the different training samples, learning rate and numbers of hidden layers on the classified accuracy when using learning vector quantization to analysis
  摘要本研究采计算机仿真探讨不同训练示范样本数、学习速率及隐藏层个数对学习矢量量化网络分类正确率之影响。
• vector quantization ( vq ) is an important technology in the field of image compression, which is widely used in various applications such as speech coding, audio and video compression, and teleconferencing systems
  矢量量化(vq)是近年来图像压缩研究中的重要技术，广泛应用于语音编码、音视频压缩和远程会议等系统中。
• This method combines a genetic algorithm with an artificial neural network classifier, such as back-propagation ( bp ) neural classifier, radial basis function ( rbf ) classifier or learning vector quantization ( lvq ) classifier
  此方法结合基因演算法与类神经分类器，如倒传递分类器、放射基底函数分类器以及学习矢量量化分类器。
• vector quantization can be used to take advantage of the correlation between neighboring pixels by quantizing pixels in groups ( or vectors ) rather than individually and symbolically representing the vector with a codeword
  本文就是从矢量量化技术的研究入手，开发它在图像压缩上的应用。并借助于并行计算技术来加快处理过程。
• 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。

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