Sciweavers

1582 search results - page 36 / 317
» On sparse signal representations
Sort
View
TIT
2010
96views Education» more  TIT 2010»
14 years 6 months ago
Beyond Nyquist: efficient sampling of sparse bandlimited signals
Wideband analog signals push contemporary analog-to-digital conversion systems to their performance limits. In many applications, however, sampling at the Nyquist rate is inefficie...
Joel A. Tropp, Jason N. Laska, Marco F. Duarte, Ju...
CORR
2010
Springer
104views Education» more  CORR 2010»
14 years 12 months ago
Support Recovery of Sparse Signals
We study the tradeoffs between the number of measurements, the signal sparsity level, and the measurement noise level for exact support recovery of sparse signals via random noisy ...
Yuzhe Jin, Young-Han Kim, Bhaskar D. Rao
TSP
2010
14 years 6 months ago
Estimating multiple frequency-hopping signal parameters via sparse linear regression
Abstract--Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating...
Daniele Angelosante, Georgios B. Giannakis, Nichol...
TSP
2010
14 years 6 months ago
Decentralized sparse signal recovery for compressive sleeping wireless sensor networks
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
Qing Ling, Zhi Tian
CORR
2011
Springer
164views Education» more  CORR 2011»
14 years 6 months ago
Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors
Iterative reweighted algorithms, as a class of algorithms for sparse signal recovery, have been found to have better performance than their non-reweighted counterparts. However, f...
Zhilin Zhang, Bhaskar D. Rao