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CORR
2008
Springer
178views Education» more  CORR 2008»
13 years 8 months ago
Model-Based Compressive Sensing
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
Richard G. Baraniuk, Volkan Cevher, Marco F. Duart...
ICASSP
2008
IEEE
14 years 2 months ago
A compressed sensing technique for OFDM channel estimation in mobile environments: Exploiting channel sparsity for reducing pilo
We consider the estimation of doubly selective wireless channels within pulse-shaping multicarrier systems (which include OFDM systems as a special case). A new channel estimation...
Georg Tauboeck, Franz Hlawatsch
SIAMIS
2010
129views more  SIAMIS 2010»
13 years 2 months ago
Compressed Remote Sensing of Sparse Objects
Abstract. The linear inverse source and scattering problems are studied from the perspective of compressed sensing, in particular the idea that sufficient incoherence and sparsity ...
Albert Fannjiang, Thomas Strohmer, Pengchong Yan
ICASSP
2011
IEEE
12 years 11 months ago
Sparsity-undersampling tradeoff of compressed sensing in the complex domain
In this paper, recently developed ONE-L1 algorithms for compressed sensing are applied to complex-valued signals and sampling matrices. The optimal and iterative solution of ONE-L...
Zai Yang, Cishen Zhang
KES
2004
Springer
14 years 1 months ago
Review of Coding Techniques Applied to Remote Sensing
With the aim of obtaining a valid compression method for remote sensing and geographic information systems, and because comparisons among the different available techniques are not...
Joan Serra-Sagristà, Francesc Aulí L...