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ICASSP
2010
IEEE
14 years 4 months ago
Multichannel-compressive estimation of doubly selective channels in MIMO-OFDM systems: Exploiting and enhancing joint sparsity
We propose a compressive estimator of doubly selective channels within pulse-shaping multicarrier MIMO systems (including MIMOOFDM as a special case). The use of multichannel comp...
Daniel Eiwen, Georg Tauböck, Franz Hlawatsch,...
ICASSP
2009
IEEE
15 years 4 months ago
CMOS compressed imaging by Random Convolution
We present a CMOS imager with built-in capability to perform Compressed Sensing coding by Random Convolution. It is achieved by a shift register set in a pseudo-random configurat...
Laurent Jacques, Pierre Vandergheynst, Alexandre B...
ICIP
2008
IEEE
15 years 11 months ago
Compressive image fusion
Compressive sensing (CS) has received a lot of interest due to its compression capability and lack of complexity on the sensor side. In this paper, we present a study of three sam...
Tao Wan, Cedric Nishan Canagarajah, Alin Achim
ICASSP
2011
IEEE
14 years 1 months ago
Generalized Restricted Isometry Property for alpha-stable random projections
The Restricted Isometry Property (RIP) is an important concept in compressed sensing. It is well known that many random matrices satisfy the RIP with high probability, whenever th...
Daniel Otero, Gonzalo R. Arce
ICASSP
2011
IEEE
14 years 1 months ago
Compressive tracking of doubly selective channels in multicarrier systems based on sequential delay-Doppler sparsity
We propose a compressive method for tracking doubly selective channels within multicarrier systems, including OFDM systems. Using the recently introduced concept of modified comp...
Daniel Eiwen, Georg Tauböck, Franz Hlawatsch,...