DocumentCode :
1323730
Title :
Sub-Nyquist Sampling
Author :
Mishali, Moshe ; Eldar, Yonina C.
Volume :
28
Issue :
6
fYear :
2011
Firstpage :
98
Lastpage :
124
Abstract :
In this article, we review sampling strategies that target reduction of the ADC rate below Nyquist. Our survey covers classic works from the early 1950s through recent publications from the past several years. The prime focus is bridging theory and practice, that is, to pinpoint the potential of sub-Nyquist strategies to emerge from the math to the hardware. In this spirit, we integrate contemporary theoretical viewpoints, which study signal modeling in a union of subspaces, together with a taste of practical aspects, more specifically how the avant-garde modalities boil down to concrete signal processing systems. Our hope is that this presentation style will attract the interest of both researchers and engineers with the aim of promoting the sub-Nyquist premise into practical applications while encouraging further research into this exciting new frontier.
Keywords :
signal sampling; bridging theory; signal modeling; signal processing systems; sub-Nyquist sampling; Computational modeling; Demodulation; Digital signal processing; Sampling methods; Shannon-Nyquist theorems;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2011.942308
Filename :
6021873
Link To Document :
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