Signal reconstruction algorithm under adaptive measurement matrix
一种自适应观测矩阵下的信号重构算法*

To improve the performance of compressed sensing, designed an adaptive sparse measurement matrix including 0 and 1. In the signal reconstruction, used the location information of observations to avoid solving diophantine equation, which improved the reconstruction speed. The deep-sea riser force parameter which was sparse in frequency domain was adopted to simulate. The results of computer simulation show that the average error of reconstruction algorithm under the adaptive measurement matrix is smaller than the basis pursuit algorithm under the random measurement matrix when the number of observations is same.