Compressed sensing in audio signals and it´s reconstruction algorithm

A theoretical framework of compressed sensing are represented, for real, no-spare especial audio signals, the short-term stability of these signals is analyzed, these signals are compressed using compressed sensing method, the performance of different reconstruction algorithms are studied for original audio signals based on the number of measurements and the length of frame. The experiment results show that the reconstruction performance associated with the number of measurements and the length of frames. The best reconstruction performance in all algorithms we used is OMP, the speed calculation of OMP also is good.