分块压缩感知CS,通过非线性重建算法完美的重建信号我要分享

Block compressed sensing CS, through the nonlinear reconstruction algorithm perfect reconstruction s

cs稀疏采样 压缩-采样 采样 线性采样算法 Nyquist

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文件大小: 51KB

代码分类: 信号处理

开发平台: matlab

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代码描述

中文说明:

压缩感知,又称压缩采样,压缩传感。它作为一个新的采样理论,它通过开发信号的稀疏特性,在远小于Nyquist 采样率的条件下,用随机采样获取信号的离散样本,然后通过非线性重建算法完美的重建信号。


English Description:

Compressed sensing, also known as compressed sampling, compressed sensing. As a new sampling theory, it uses random sampling to obtain discrete samples of the signal by exploiting the sparse characteristics of the signal, which is far less than the Nyquist sampling rate, and then uses the nonlinear reconstruction algorithm to reconstruct the signal perfectly.


代码预览

分块压缩感知程序(matlab).doc