均匀量化 meaning in English
uniform quantization
uniform quantizing
Examples
- In this article the principle of information theory and the characteristic of human eye ' s system have been introduced to analyze the model of self - adapting quantization , at the same time , the arithmetic to calculate bw & rbw and the simulation result have also been given
从信息论和人眼视觉特性的角度详细地分析了自适应非均匀量化模型，并给出了计算bw & rbw的算法以及仿真结果。 - So wavelet analysis is suitable for processing radar data which is a kind of nonstationary signal . at the end of this paper , after comparing the four algorithm , author suggests that user chooses the forth algorithm , when distortion is admitted in a certain range
本文最后，权衡了文中各算法的利弊，提出了在允许一定失真的条件下，使用小波变换、子带均匀量化和lzw编码的压缩算法的建议。 - According to the characteristics of pipeline leak signals that the influence degrees of burst interference noises are various in each local area , this paper optimizes the uniform quantization to be adaptable , and proposes an adaptive quantization
根据管道泄漏信号局部区域受到突发干扰噪声影响程度的不同,本文进一步优化均匀量化器,将其改进为自适应量化器,提出了基于突发干扰噪声的自适应量化近无损压缩算法。 - 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
本论文可以分成四部分：第一部分给出了信源编码的基本概念和理论分析，重点放在最优均匀量化编码的研究方面；第二部分给出了信道?信源联合编码的原理叙述，重点放在复合式信道?信源编码的分析研究上；第三部分将信道-信源联合编码原理应用在两种噪声信道上：离散无记忆信道和cdma信道，并根据两种信道的不同特点详细描述了两种相应的编码设计方案；第四部分给出了复合式信道-信源编码的仿真结果以及对结果的相应分析。 - Secondly , we bring statistic coding , prediction coding , transform coding and analysis & synthesis coding into radar area . according to the properties of radar data , we take 4 methods , which are huffman coding ; prediction error model and lzw coding ; fft , uniform quantization in each frequency bank and huffman coding ; wavelet transform , uniform quantization in each frequency bank and lzw coding , to compress the genuine ground clutter radar data and give the corresponding results
根据雷达回波的特性，分别采用了huffman编码法，预测误差模型和lzw编码法， fft 、分频带均匀量化和huffman编码的压缩算法，小波变换、子带均匀量化和lzw编码的压缩算法等四种算法，并给出了用这些算法对真实的地杂波雷达回波数据进行压缩的实验结果。