Multicoset Sampling Based on Frequency Shifting and Filtering A. Mansour, IEEE Senior Member, F. Le Roy Lab STIC - ENSTA Bretagne 2 Rue François Verny, 29200 Brest, France. mansour@ieee.org; frederic.le_roy@ensta-bretagne.fr http://ali.mansour.free.fr & www.ensta-bretagne.fr D. Le Jeune Ministère de la Défense Paris, France Dr Lejeune is an associate Research at Lab STIC- ENSTA Bretagne dlejeune29@sfr.fr; denis.le_jeune@ensta-bretagne.fr Abstract— 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. Keywords-component; Wireless Communication, Compressive sampling, Compressed Sensing, Cognitive Radio, Software Defined Radio, Intercepted Signals, Electronic Warfare.