Research on signal sub-Nyquist sampling and reconstruction based on compressed sensing

For realizing signal sub-Nyquist sampling and reconstruction based on compressed sensing, a simulation analysis of sinusoidal pulse signal sampling and reconstruction is made with the analog-to-information converter and orthogonal matching pursuit (OMP) algorithm. The Matlab simulation results show that the compressed sensing theory in signal sampling and reconstruction is feasible. The system has better performance in the high signal-to-noise ratio, which can provide the theoretical reference for the design and application of a signal sampling and recovery processing system. Finally, the application value and prospect of compressed sensing are summarized and discussed.