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uniform quantization rgb matlab
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均匀量化方法：该方法对彩色空间进行划分, 挑选出一组红蓝绿成分均匀分布的色彩表颜色。最简单的表示方法是：首先分离RGB空间，使之在每一维上分成相等的片，落在每一块的颜色均用其中央点的颜色值来近似表示，这样可选出一组用途广泛的颜色。例如在K为256 的情况下,考虑到人眼对不同颜色的敏感度将颜色空间中的红色和绿色分量各分成8段，蓝色分量4段，这样可组合得到8*8*4=256种色彩。-Uniform quantization
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matlab程序实现均匀量化和非均匀量化的过程-matlab program to achieve a uniform quantization and non-uniform quantization process
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基于信道量化反馈的预编码仿真程序，采用均匀量化方式，采用LDL分解的预编码技术，可得到不同反馈bit（1bit，2bit，3bit）条件下系统的误码性能。-Quantified based on channel feedback precoding simulation program, using the uniform quantization, LDL decomposition of the pre-coding techniques, and can get different fee
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在GUI界面上，实现语音读取，描绘时域波形和频域波形，并进行采样和冲采样，最后进行非均匀量化（13折线）！-GUI interface, voice read, depicting the time-domain waveform and frequency domain waveforms, and sampling and washed samples, the final non-uniform quantization broken line (13)
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The optimal quantization tables for Gaussian, Rayleigh and Laplacian probability density functions.Uniform quantizer is optimal for uniform distribution source, not for other distribution.The procedure is based on a Lloyd-Max iteration.
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利用影像回傳均勻量化及顯示有效解析度跟利用SWITCH 跟 IF 基本指令判斷星座-Return uniform quantization using imaging and display resolution with the use of effective IF SWITCH with basic instruction judge constellation
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μ律PCM编码，小信号放大，大信号缩小，非均匀量化实现的一种方式，实用。-μ-law PCM coding, small signal amplification, large signal narrow, one way to achieve a non-uniform quantization, and practical.
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均匀量化,利用matlab建立均匀量化的模型,及绘制量化误差曲线-Uniform quantization
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Uniform quantization for video encoding and decoding
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uniform quantization of video encoding and decoding
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运用MATLAB语言，进行非均匀PCM量化编码。产生一个长度为500，按N（0，1）分布的随机变量序列。用64量化电平和μ=255的μ律非线性，画出量化器的误差和输入输出关系。-Using MATLAB language, non-uniform quantization PCM coding. Produces a length of 500, according to the sequence of random variables N (0,1) distribution. With 64
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从均匀以及非均匀量化两种角度对PCM系统的量化过程进行MATLAB编程仿真和Simulink仿真-From a uniform and non-uniform quantization of the quantization process two angles PCM system s simulation and MATLAB Simulink simulation programming
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quantization simulation for audio file, mulaw and uniform
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通信原理中运用matlab实现信号的均匀量化-Uniform quantization to realize signal
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编制一个函数实现均匀PCM量化编码，并计算量化噪声比（SNQR）-Prepare a function to achieve uniform PCM quantization coding, and calculate the quantization noise ratio (SNQR)
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均匀与非均匀量化编码处理，比较两者性能特性-Uniform and non-uniform quantization coding process to compare the performance characteristics
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Non uniform quantization example in matlab
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产生一个幅度为1，频率为w=1的正弦序列，采用非均匀8级量化和16级量化（类似A律13折线的方法），在同一坐标系内绘出原始信号和量化信号的曲线，并计算量化的S/N-Generating an amplitude of 1 and a frequency of the sinusoidal sequence w = 1, the use of non-uniform quantization 8 and 16 quantization (similar to Method A-law broken
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产生一个幅度为1，频率为w=1的正弦序列，采用均匀PCM方案，将其进行8级量化和16级量化，在同一坐标系内绘出原始信号和量化信号的曲线，并计算量化的S/N-Generating an amplitude of 1 and a frequency of the sinusoidal sequence w = 1, the uniform PCM scheme, which is carried out 8 and 16 quantization quantization, the original
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