基于随机滤波器采样信号的重构算法的研究

The Research of Reconstruction Algorithm for Compressive Signals from Random Filters

为了提高压缩感知中随机滤波器采样信号的重构性能,该文采用L1最小化重构算法对压缩信号进行重构。通过数值试验表明,对于随机滤波器采样的信号,L1最小化重构算法的重构效果优于正交匹配追踪算法的重构效果。

To improve the reconstruction performance of compressive signals from random filters,L1 minimization algorithms is used. The numerical experiments show reconstruction performance of L1 minimization algorithms outperforms reconstruction performance of orthogonal matching pursuit algorithms.