加权均方误差的英文

• weighted mean square error

• "加权"英文翻译    weighting; weighted
• "均方"英文翻译    mean square
• "误差"英文翻译    error
• "加权均方" 英文翻译 :    weighted mean square
• "加权均方根值" 英文翻译 :    wrms weighted root mean square
• "均方误差" 英文翻译 :    error of mean squares; error of mean suare; error root-mean-square; error, mean-squared (mse); mea quarederror; mean-squared error; mse mean squared error; quadratic error; root mean square error; square error
• "均方误差比" 英文翻译 :    mser
• "总均方误差" 英文翻译 :    overall mean squared error
• "均方误差，中误差" 英文翻译 :    mean square error
• "合并均方误差" 英文翻译 :    pooled mean square error
• "均方误差范数" 英文翻译 :    mean square error norm
• "均方误差模式" 英文翻译 :    square error pattern
• "均方误差效率" 英文翻译 :    mean square error efficiency
• "均方误差准则" 英文翻译 :    mean square error criterion; mean-square error criteria; mean-square error criterion
• "最小均方误差" 英文翻译 :    minimum mean-squared error; mmse minimum mean square error
• "标准离差；均方误差" 英文翻译 :    standard deviation
• "最小均方误差复原" 英文翻译 :    mmser minimum mean square error restoration
• "最小均方误差估计" 英文翻译 :    minimum mean square error estimate
• "最小均方误差预测" 英文翻译 :    minimum mean square error forecast
• "最小均方误差准则" 英文翻译 :    minimum mean square error criterion
• "频率加权平方误差" 英文翻译 :    fwse frequency weighted squared error
• "时间加权平方误差" 英文翻译 :    time-weighted squared error
• "均方误" 英文翻译 :    mean square error
• "归一化最小均方误差" 英文翻译 :    nlms
• "图象阵列的均方误差" 英文翻译 :    squared error averaged over a image array

• 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。