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SIAMIS
2011
13 years 12 hour ago
Gradient-Based Methods for Sparse Recovery
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
William W. Hager, Dzung T. Phan, Hongchao Zhang
CISS
2010
IEEE
12 years 8 months ago
Concentration of measure for block diagonal matrices with repeated blocks
Abstract—The theoretical analysis of randomized compressive operators often relies on the existence of a concentration of measure inequality for the operator of interest. Though ...
Christopher J. Rozell, Han Lun Yap, Jae Young Park...
CORR
2010
Springer
93views Education» more  CORR 2010»
13 years 5 months ago
Rank Awareness in Joint Sparse Recovery
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
Mike E. Davies, Yonina C. Eldar
QCQC
1998
Springer
173views Communications» more  QCQC 1998»
13 years 9 months ago
Quantum Wavelet Transforms: Fast Algorithms and Complete Circuits
The quantum Fourier transform (QFT), a quantum analog of the classical Fourier transform, has been shown to be a powerful tool in developing quantum algorithms. However, in classi...
Amir Fijany, Colin P. Williams
CORR
2008
Springer
104views Education» more  CORR 2008»
13 years 5 months ago
Some Aspects of Testing Process for Transport Streams in Digital Video Broadcasting
: This paper presents some aspects related to the DVB (Digital Video Broadcasting) investigation. Thebasicaspectsof DVB are presented, with an emphasis on DVB-T version of standard...
Radu Arsinte, Ciprian Ilioaei