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l1_ls
- 基于最小二乘思想解决l1范最小问题，对于初学压缩感知的同学有一定的帮助 -L1 norm minimization problem based on least squares ideology, compressed sensing for the beginner students some help
l1_ls
- 求解l1范式的值，用于压缩感知中的稀疏表示。进行分类-Solving the value of l1 paradigm for compressed sensing of sparse representation. Classification
l1_ls
- 稀疏表示l1_ls算法,样本分类中很好用-Sparse representation l1_ls algorithm, sample classification is very good
l1_ls
- l1范数约束的使用最小二乘法计算观测信号的稀疏编码，(L1 norm constraint using the least squares method to calculate the observed signal sparse coding,)