Sciweavers

23 search results - page 1 / 5
» Subspace compressive detection for sparse signals
Sort
View
ICASSP
2008
IEEE
13 years 10 months ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler
CISS
2010
IEEE
12 years 8 months ago
Average case analysis of sparse recovery from combined fusion frame measurements
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
Petros Boufounos, Gitta Kutyniok, Holger Rauhut
JDCTA
2010
188views more  JDCTA 2010»
12 years 11 months ago
Compressive Sensing Signal Detection Algorithm Based on Location Information of Sparse Coefficients
Without reconstructing the signal themselves, signal detection could be solved by detection algorithm, which directly processes sampling value obtained from compressive sensing si...
Bing Liu, Ping Fu, Shengwei Meng, Lunping Guo
ICASSP
2011
IEEE
12 years 8 months ago
Audio Signal Representations for Factorization in the Sparse Domain
In this paper, a new class of audio representations is introduced, together with a corresponding fast decomposition algorithm. The main feature of these representations is that th...
Manuel Moussallam, Laurent Daudet, Gaël Richa...
PIMRC
2010
IEEE
13 years 2 months ago
Compressive sampling based differential detection of ultra wideband signals
In this paper we focus on compressive sampling (CS) based ultra wideband (UWB) differential detection. We formulate an optimization problem to jointly recover the sparse received U...
Shahzad Gishkori, Geert Leus, Vincenzo Lottici