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1下载：
压缩感知中求解最优L1范数问题的BP算法内含指导文章-Compressed sensing in L1 norm to solve the problem of optimal BP algorithm article contains guidance
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用reweighted L1优化进行压缩感知的信号重建算法-Optimized by reweighted L1 signal is compressed sensing reconstruction algorithm
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Logistic Loss with the L1-norm Regularization subject to non-negative constraint
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SPGL1 is a Matlab solver for large-scale one-norm regularized least squares.It is designed to solve any of the following three problems: 1. Basis pursuit denoise (BPDN): minimize ||x||_1 subject to ||Ax - b||_2 <= sigma, 2. Basis pursuit (BP): min
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L1范最小化算法，匹配追踪算法，MATLAB语言实现，可以直接用(L1 norm Minimization Algorithm)
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