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于 2018-01-28 发布文件大小:31KB

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说明：压缩感知的例子。重建是用在稀疏域上求最小零范数的方法。首先把零范数凸松弛为一范数，然后变成线性规划问题，从而求得最优解。(An example of the compressive sensing. Its reconstruction is based on L0-norm minimization.)

文件列表：

code2.m, 1274 , 2017-12-22
cs.mat, 32674 , 2017-11-15

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