Multicoset sampling based on frequency shifting and filtering

In this manuscript, the problem of compressive sampling of intercepted sparse signals is addressed. Assuming that the intercepted signals are sparse in frequency domain, we propose a new algorithm based on shifting and filtering concepts to perform a compressive sampling. Schematic circuits to carry out the undersampling step and the recovery of original signals are also proposed. Simulation results are discussed. Finally, conclusions and future works are presented.