code vector造句

• 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。
• Based on the analysis of image wavelet transformation and the space / frequency distributing characteristics of different subbands " coefficients , this dissertation fully exploits the following theories and methods : scalar quantization , vector quantization , trellis coded quantization , trellis coded vector quantization , vector classification , codebook expansion and weighted mean square error rule basing mankind visual characteristics , etc . from different angles of information amalgamation , it develops several innovative algorithms of image compression and coding , gives their realization schemes , and makes plentiful simulation tests
  本文在分析了图像小波变换的原理和子带系数空间及频率分布特点的基础上，充分利用标量量化、矢量量化、网格编码量化、网格编码矢量量化、矢量分类、码书扩展和基于人眼视觉特性的加权均方误差准则等思想和方法，从信息融合的不同角度展开了对小波图像的压缩编码研究，同时也讨论了这些方法在静止图像量化中的具体应用。