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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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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128量化电平和 的 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. Produce a length of 500, according to the sequence of random variables N (0,1) distribution. With 128 qu
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uniform quantization for visual c++.
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代码附后
本设计结合 PCM 的抽样、量化、编码原理,利用 MATLAB 软件编程和绘图功能,完 成了对脉冲编码调制(PCM)系统的建模与仿真分析。课题中主要分为三部分对脉冲编码 调制(PCM)系统原理进行建模与仿真分析,分别为采样、量化和编码原理的建模仿真。 同时仿真分析了采样与欠采样的波形、均匀量化与 A 律 13 折线非均匀量化的量化性能及 其差异。通过对脉冲编码调制(PCM)系统原理的仿真分析,设计者对 PCM 原理及性能 有了更深刻的认识,并进一步掌握 MATLAB 软件的使
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使用MATLAB,
实现对一个余弦信号的均匀量化和A律非均匀量化,
并将结果输出在图形界面上。-
Using MATLAB,
Cosine signals to achieve a uniform quantization and A-law non-uniform quantization,
And outputs the results in a graphical interface.
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1、了解均匀与非均匀量化编码的原理与过程
2、掌握两种不同量化编码方式的特点并能加以比较
3、进一步熟悉matlab在通信方面的应用
-1, understand the principle and process of uniform and nonuniform quantization encoding
2, grasp the characteristics of two kinds of different quantization encoding and can b
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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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基于PCM的均匀量化编码,代码注释,方便学生使用,下载即可用。-PCM-based uniform quantization coding, download can be used.
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均匀PCM量化和u律非均匀量化的对比效果分析实验 不错的-Uniform law PCM quantization and u good non-uniform quantitative analysis of the contrast experiment
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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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数字通信中BPSK和DPSK调制以及PCM的均匀量化编码和A律13折近似编码的matlab例程(In digital communications, BPSK and DPSK modulation, and PCM uniform quantization coding and A law 87% off approximate encoding matlab routines)
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均匀PCM量化和u律非均匀量化的对比效果分析实验 不错的(Uniform law PCM quantization and u good non-uniform quantitative analysis of the contrast experiment)
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实现对一个余弦信号的均匀量化和μ律非均匀量化,并将结果输出在图形界面上。(The uniform quantization and non uniform quantization of a cosine signal are realized and the results are output on the graphical interface.)
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BCS-SPL-DPCM将DPCM和均匀标量量化应用于BCS-SPL,以从BCS测量产生压缩比特流。(BCS-SPL-DPCM applies DPCM and uniform scalar quantization to BCS-SPL to produce a compressed bitstream from the BCS measurements.)
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进行均匀量化误差分析,并且有仿真图,分别是输入信号和量化信号对比,采样样值和8级均匀量化后的样值,均匀量化信噪比随编码位数的变化(Error analysis of uniform quantization)
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