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适用MATLAB仿真实现对模拟信号的采样量化编码程序（模拟信号采样经均匀量化后自然二进制编码），通信系统仿真必备,The application of MATLAB simulation of analog signal sampling quantization coding procedures (analog signal sampling by the uniform quantization after the natural binary code), communication s
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jpeg压缩matlab源代码。由均匀量化和huffman编码组成，简洁易懂,jpeg compression matlab source code. By the uniform quantization and huffman coding components, concise and understandable
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图像颜色特征的提取：HSV颜色直方图 描述的是图像的整体颜色情况。本程序采用非均匀量化方法得到36bin的颜色直方图。,Image Color Feature Extraction: HSV color histogram describes the situation of the image' s overall color. This procedure using non-uniform quantization method the color histogram 36bin.
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产生长度为1000的标准正太分布的随机信号，画出时域波形及频谱；
采用u=255的非均匀PCM编码，每符号为8bit，画输入-输出关系图；
计算信号量化噪声比（SQNR）；
信道误码率为10-3；
解码，并画出u律反变换后的信号时域波形及频谱。
扩展要求：
采用均匀PCM、量化级数可变、信道误码率可变。
- have a standard len
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利用Matlab仿真脉冲编码调制（PCM）及A律、μ律PCM对声音进行压缩编解码过程。
脉冲编码调制（PCM，Pulse Code Modulation）是一种将模拟语音信号转换成数字信号的编码方式。波形编码器的作用是对采样后的信号样本进行量化和编码。从数学上来看，量化过程就是把一个连续幅度值的无限数集合映射成一个离散幅度值的有限数集合，编码就是用一组二进制数来表示这些映射后的有限数。国际标准化的PCM采用折叠二进制码，符合长途电话质量。根据量化方法的不同，PCM可分为均匀量化PCM和对数
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小波均匀量化huffman熵编码图像压缩程序：分析对象Lena.bmp-Uniform quantization of wavelet image compression huffman entropy coding procedure: analysis of object Lena.bmp
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Quantization (signal processing)
uniformly and non-uniformily using A and miu law od companding.
simulation using simulink/matlab
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L3_1.m: 純量量化器的設計(程式)
L3_2.m: 量化造成的假輪廓(程式)
L3_3.m: 向量量化器之碼簿的產生(程式)
L3_4.m: 利用LBG訓練三個不同大小與維度的碼簿並分別進行VQ(程式)
gau.m: ML量化器設計中分母的計算式(函式)
gau1.m: ML量化器設計中分子的計算式(函式)
LBG.m: LBG訓練法(函式)
quantize.m:高斯機率密度函數的非均勻量化(函式)
VQ.m: 向量量化(函式)
L3
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采用matlab编写的关于当 L=64时，为求得在均匀量化时的最优步长-Prepared by the use of matlab when L = 64 when, in order to achieve the optimal uniform quantization step size at the time of
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实现了小波的图像量化，包括均匀量化，WSQ标准量化，k均值矢量量化，附简明pdf报告。-Implementation of wavelet image quantification, including the uniform quantization, WSQ standards for quantification, k means vector quantization, with a concise pdf report.
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通信原理中均匀量化方面的仿真，程序简单易懂，希望能加深你对量化的理解-Communication Theory in the uniform quantization in the simulation, the program easy to understand, hoping to deepen your understanding of quantitative
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uniform quantization in matlab
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对RGB图像进行uniform量化处理 uniform quantization for RGB image-uniform quantization
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Companding is essentially a technique for achieving non-uniform quantization. There are basically 2 methods which are most popular in literature.:-A-law companding and u-law companding. These algorithms help in achieving to an extend, compression. Th
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脉冲编码调制(PCM)实现
编程实现PCM技术的三个过程：采样、量化与编码。
采样：低通连续信号采样，以 x=sin(200*t) m=x./(200*t) m=m.*m 为例说明低通采样定理，绘出信号时、频图形；带通连续信号采样，以x=sin(20*t) m=x./t 为例说明带通采样定理，绘出信号时、频图形。
量化：均匀量化，以幅度 的正弦信号为例实现为64级电平的均匀量化；非均匀量化，输入A律PCM编码器的正弦信号 ，采样序列为 ，将其进行PCM编码，给出编码器的输出码组序列
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This uniform quantization coded in matlab-This is uniform quantization coded in matlab
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They are the programs of uniform quantization and non-uniform quantization.
In digital signal processing, quantization is the process of approximating ("mapping") a continuous range of values (or a very large set of possible discrete values) by
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一个用于量化的程序，包括均匀量化和非均匀量化。-One for quantitative procedures, including non-uniform quantization and uniform quantization.
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matlab实现pcm均匀量化与非均匀量化 -matlab achieve pcm uniform quantization and non-uniform quantization
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pcm编码A律Simulink和MATLAB(PCM in the communication system to complete the voice signal digital function, and its implementation mainly includes three steps to complete: sampling, quantization, coding. The binary representation of time discrete, amplitud
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