| Summary: | MWC implements the synchronous compression sampling of sparse wideband signal, however, there is still room for improvement in the anti-interference of the existing reconstruction algorithm. So this paper proposes an improved MWC reconstruction algorithm based on wavelet threshold de-noising. By applying stationary wavelet transform to MWC samples and designing the selection rules of wavelet coefficients, the edge information of the signal is preserved as much as possible while de-noising, which reduces the signal distortion caused by over-smoothing. Experiments show that the method has good de-noising effect at low SNR level, and the reconstruction rate can increase by 21.8% at most. Because of its good portability, it can be used with other reconstruction algorithms that reduce the number of channels or running time to further improve the performance of the whole MWC system.
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