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» On sparse signal representations
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FSTTCS
1992
Springer
15 years 10 months ago
On Bounded Truth-Table, Conjunctive, and Randomized Reductions to Sparse Sets
In this paper we study the consequences of the existence of sparse hard sets for NP and other complexity classes under certain types of deterministic, randomized, and nondetermini...
Vikraman Arvind, Johannes Köbler, Martin Mund...
ICASSP
2009
IEEE
16 years 26 days ago
Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
Chenlu Qiu, Wei Lu, Namrata Vaswani
ICASSP
2008
IEEE
16 years 17 days ago
Compressive sensing of parameterized shapes in images
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
Ali Cafer Gurbuz, James H. McClellan, Justin K. Ro...
ICASSP
2010
IEEE
15 years 6 months ago
Modulated wideband converter with non-ideal lowpass filters
We investigate the impact of using non-ideal lowpass filters in the modulated wideband (MWC) converter, which is a recent subNyquist sampling system for sparse wideband analog si...
Yilun Chen, Moshe Mishali, Yonina C. Eldar, Alfred...
ICASSP
2010
IEEE
15 years 6 months ago
Sparsity maximization under a quadratic constraint with applications in filter design
This paper considers two problems in sparse filter design, the first involving a least-squares constraint on the frequency response, and the second a constraint on signal-to-noi...
Dennis Wei, Alan V. Oppenheim