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quantization step in Chinese

Pronunciation:
How to pronounce "quantization step""quantization step" in a sentence

Translationmobile phoneMobile

  • 分層隔距
  • 量子化步

Examples

  • A robust image blind watermarking algorithm based on adaptive quantization step in dwt
    域自適應(yīng)量化步長的圖像盲水印算法
  • The algorithm is based on the optimum quantization step for each dwt coefficient according to psychovisual considerations which derived from methods in image compression
    本文的算法基于圖像壓縮算法中利用心理視覺給出的dwt系數(shù)的最優(yōu)量化步驟。
  • This paper can put into four parts ? this first part is the description and theoretical analyses of source coding , which focus on the research of optimizing equal quantization ? the second part presents the theoretical description of joint channel - source coding , which focus on the research of combined channel - source coding o the third part is about the application of combined channel - source coding to two different channel models , binary symmetric channel and cdma channel o in this part , two different coding designs are given according to different characters of these two channels ? and the last part is the description of simulation of combined channel - source coding ? most of my work are about two parts , one is to find the most appropriate quantization steps and centroid points of separate channel - source coding , another is to simulate the combined channel - source coding ? comparing the simulation results of separate channel - source coding and combined channel - source coding , the characters of joint channel - source coding are given
    本論文可以分成四部分：第一部分給出了信源編碼的基本概念和理論分析，重點放在最優(yōu)均勻量化編碼的研究方面；第二部分給出了信道?信源聯(lián)合編碼的原理敘述，重點放在復(fù)合式信道?信源編碼的分析研究上；第三部分將信道-信源聯(lián)合編碼原理應(yīng)用在兩種噪聲信道上：離散無記憶信道和cdma信道，并根據(jù)兩種信道的不同特點詳細描述了兩種相應(yīng)的編碼設(shè)計方案；第四部分給出了復(fù)合式信道-信源編碼的仿真結(jié)果以及對結(jié)果的相應(yīng)分析。
  • As human eyes are more sensitive to the low coefficients than to the high coefficients , a preprocessor is employed to remove part of the high coefficients and a visual property factor is introduced to increase the quantization step in complex regions while decreasing the quantization step in flat regions
    該策略利用人眼對圖像低頻分量比對高頻分量敏感的特性，先對圖像進行預(yù)處理，去掉部分高頻分量，并在量化時引入視覺特性因子以加大圖像復(fù)雜區(qū)的量化而減小圖像平坦區(qū)的量化。
  • The adaptation processing includes linear prediction coefficient adaptation and adaptation of quantization step size for residual signals . based on g . 726 , we adopt a huffman coder to make use of probability statistic of bit cascade covering n ( n 1 ) samples generated from adpcm , in order to further reduce the bit rate . ng is lossless entropy coding , the speech quality of our improved algorithm should be same as that of g . 726 standard
    我們的研究和改進工作包括:研究最優(yōu)非均勻自適應(yīng)量化器,及其自適應(yīng)算法;研究波形預(yù)測函數(shù),以及函數(shù)零點、極點的自適應(yīng)算法;基于每n ( n 1 )個樣本所對應(yīng)符號的概率統(tǒng)計,對預(yù)測殘差量化值再進行huffman編碼,進一步降低比特率。

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