TY - GEN
T1 - Effects of basis-mismatch in compressive sampling of continuous sinusoidal signals
AU - Chae, Daniel H.
AU - Sadeghi, Parastoo
AU - Kennedy, Rodney A.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78049341904&partnerID=8YFLogxK
U2 - 10.1109/ICFCC.2010.5497605
DO - 10.1109/ICFCC.2010.5497605
M3 - Conference contribution
SN - 9781424458226
T3 - Proceedings of the 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010
SP - V2739-V2743
BT - Proceedings of the 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010
T2 - 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010
Y2 - 21 May 2010 through 24 May 2010
ER -