压缩感知中用到的一种稀疏重构算法，基于求解最小1—范数解。-Compression The perception used a sparse reconstruction algorithm based on solving the minimum 1- norm solution.

压缩感知信号恢复算法OMP和CoSaMP算法，常用的算法- x = CoSaMP( A, b, k ) uses the Compressive Sampling Matched Pursuit (CoSaMP) algorithm (see Needell and Tropp s 2008 paper http://arxiv.org/abs/0803.2392 ) to estimate the solution to the equation

gradient_QU.m For example, invoking the partial sparse-simplex method with the same setting as the last example (of the greedy sparse-simplex method) also results with the correct solution: >>[X,fun_val]=partial_sparse_simplex(@(x)f_QU(A,