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» Compressed Sensing of Analog Signals
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CORR
2011
Springer
259views Education» more  CORR 2011»
14 years 10 months ago
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
Mark A. Davenport, Jason N. Laska, John R. Treichl...
48
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CORR
2010
Springer
81views Education» more  CORR 2010»
15 years 3 months ago
Multiarray Signal Processing: Tensor decomposition meets compressed sensing
Lek-Heng Lim, Pierre Comon
135
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Kronecker product matrices for compressive sensing
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
Marco F. Duarte, Richard G. Baraniuk
ICASSP
2011
IEEE
14 years 7 months ago
Improved model-based spectral compressive sensing via nested least squares
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
Mahdi Shaghaghi, Sergiy A. Vorobyov