Title :
Compressive sensing based measurement of time-frequency shifts system
Author_Institution :
Sch. of Phys. & Electron. Inf., Gannan Normal Univ., Ganzhou, China
Abstract :
Compressive sensing theory can exploit the information of sparsity/compressibility signal efficiently. It is useful when measurements are expensive. This paper introduces a simple and effective measurement process based on compressive sensing of time-frequency shifts system. Numerical simulations verify that better performance can be achieved in practice.
Keywords :
Bandwidth; IEEE members; Image coding; Matching pursuit algorithms; Noise measurement; Numerical simulation; Physics; Random sequences; Sampling methods; Time frequency analysis; Alltop sequences; Compressive sensing; sparse basis; time-frequency shifts system;
Conference_Titel :
Wireless Communications, Networking and Information Security (WCNIS), 2010 IEEE International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
978-1-4244-5850-9
DOI :
10.1109/WCINS.2010.5541896
