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» An Efficient Method for Compressed Sensing
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TWC
2008
235views more  TWC 2008»
13 years 7 months ago
Optimal spectrum sensing framework for cognitive radio networks
Spectrum sensing is the key enabling technology for cognitive radio networks. The main objective of spectrum sensing is to provide more spectrum access opportunities to cognitive r...
Won-Yeol Lee, Ian F. Akyildiz
SIAMJO
2002
96views more  SIAMJO 2002»
13 years 7 months ago
A New Efficient Large-Update Primal-Dual Interior-Point Method Based on a Finite Barrier
We introduce a new barrier function which is not a barrier function in the usual sense: it has finite value at the boundary of the feasible region. Despite this, its iteration bou...
Y. Q. Bai, Mohamed El Ghami, Cees Roos
TIT
2002
65views more  TIT 2002»
13 years 7 months ago
On the importance of combining wavelet-based nonlinear approximation with coding strategies
This paper provides a mathematical analysis of transform compression in its relationship to linear and nonlinear approximation theory. Contrasting linear and nonlinear approximatio...
Albert Cohen, Ingrid Daubechies, Onur G. Guleryuz,...
CORR
2010
Springer
133views Education» more  CORR 2010»
13 years 7 months ago
Nonuniform Sparse Recovery with Gaussian Matrices
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
Ulas Ayaz, Holger Rauhut
MP
2010
162views more  MP 2010»
13 years 6 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng