Title :
On sparse sensing of coded signals at Sub-Landau sampling rates
Author :
Peleg, Michael ; Shamai, Shlomo
Abstract :
Sparse sampling is examined jointly with encoding the transmitted signal. It is shown that with coding the Landau condition may be relaxed and the sampling rate can be lower than the effective bandwidth. Equivalently, the number of measurements can be smaller than the support size. Tight bounds on information rates and on support detection performance are derived for the Gaussian sparsely sampled channel using the context of state dependent channels. Support detection results are verified by a simulation.
Keywords :
Gaussian channels; compressed sensing; signal detection; signal sampling; Gaussian sparsely-sampled channel; Sub-Landau sampling rates; coded signals; information rates; sparse sampling; sparse sensing; state dependent channels; transmitted signal encoding; Encoding; Information rates; MIMO; Receivers; Signal to noise ratio; Transmitters; Vectors; channel state; code; sparse sampling; support;
Conference_Titel :
Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of
Conference_Location :
Eilat
Print_ISBN :
978-1-4673-4682-5
DOI :
10.1109/EEEI.2012.6376921
