@inproceedings{0eb55186975347608431c2933b305c41,
title = "Effects of basis-mismatch in compressive sampling of continuous sinusoidal signals",
abstract = "The theory of compressive sampling (or compressed sensing) is very attractive in that it is possible to reconstruct some signals with a sub-Nyquist sampling rate provided that they are sparse in some basis domain. But if there exists a mismatch between the signal basis and the pre-defined reconstruction basis, the reconstruction performance is significantly degraded even if the signal is sparse enough. In this paper, the degradation due to this basis mismatch is investigated and a way to minimize the effects of basis mismatch in compressive sampling of continuous sinusoidal signals is discussed.",
author = "Chae, \{Daniel H.\} and Parastoo Sadeghi and Kennedy, \{Rodney A.\}",
year = "2010",
doi = "10.1109/ICFCC.2010.5497605",
language = "English",
isbn = "9781424458226",
series = "Proceedings of the 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010",
pages = "V2739--V2743",
booktitle = "Proceedings of the 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010",
note = "2010 2nd International Conference on Future Computer and Communication, ICFCC 2010 ; Conference date: 21-05-2010 Through 24-05-2010",
}