两个l1准则下的噪声干扰信号压缩感知重构举例我要分享

An example of compressed sensing reconstruction of noisy interference signal based on two L1 criteri

l1-norm DCT重构 观测矩阵 压缩感知-噪声 稀疏---l1

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开发平台: matlab

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代码描述

中文说明:

两个l1准则下的噪声干扰信号压缩感知重构举例,两个例子的稀疏矩阵均为DCT矩阵,而观测矩阵分别采用单位阵和随机矩阵,有详细的步骤和使用方法,适用于初步的学习压缩感知方法。


English Description:

Two examples of compressed sensing reconstruction of noise interference signal based on L1 criterion are given. The sparse matrix of the two examples is DCT matrix, while the observation matrix adopts unit matrix and random matrix respectively. There are detailed steps and application methods, which are suitable for the preliminary learning compressed sensing method.


代码预览

l1_norm for compressed sensing

..............................\eig_max.m

..............................\gen_dct.m

..............................\l1_norm.m

..............................\Optimal_l1_norm.m

..............................\randsampling_l1_norm.m

..............................\up_data.m