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» Compressive sensing for sparsely excited speech signals
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ICASSP
2008
IEEE
13 years 11 months ago
Sparse reconstruction by separable approximation
Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least a...
Stephen J. Wright, Robert D. Nowak, Mário A...
ICASSP
2011
IEEE
12 years 8 months ago
Cosparse analysis modeling - uniqueness and algorithms
In the past decade there has been a great interest in a synthesis-based model for signals, based on sparse and redundant representations. Such a model assumes that the signal of i...
Sangnam Nam, Michael E. Davies, Michael Elad, R&ea...
JSAC
2011
185views more  JSAC 2011»
12 years 12 months ago
Joint Dynamic Resource Allocation and Waveform Adaptation for Cognitive Networks
This paper investigates the issue of dynamic resource allocation (DRA) in the context of multiuser cognitive radio networks. We present a general framework adopting generalized si...
Zhi Tian, Geert Leus, Vincenzo Lottici
FOCM
2010
140views more  FOCM 2010»
13 years 3 months ago
Combinatorial Sublinear-Time Fourier Algorithms
We study the problem of estimating the best k term Fourier representation for a given frequency-sparse signal (i.e., vector) A of length N k. More explicitly, we investigate how t...
Mark A. Iwen
CORR
2010
Springer
164views Education» more  CORR 2010»
13 years 5 months ago
Sub-Nyquist Sampling of Short Pulses: Part I
We develop sub-Nyquist sampling systems for analog signals comprised of several, possibly overlapping, finite duration pulses with unknown shapes and time positions. Efficient sam...
Ewa Matusiak, Yonina C. Eldar