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» Reconstructing sparse signals from their zero crossings
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TSP
2010
13 years 1 months ago
Distributed sampling of signals linked by sparse filtering: theory and applications
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
Ali Hormati, Olivier Roy, Yue M. Lu, Martin Vetter...
ICASSP
2011
IEEE
12 years 10 months ago
Sparse spectral factorization: Unicity and reconstruction algorithms
Spectral factorization is a classical tool in signal processing and communications. It also plays a critical role in X-ray crystallography, in the context of phase retrieval. In t...
Yue M. Lu, Martin Vetterli
DAGM
2004
Springer
13 years 10 months ago
Phase Based Image Reconstruction in the Monogenic Scale Space
Abstract. In this paper, we present an approach for image reconstruction from local phase vectors in the monogenic scale space. The local phase vector contains not only the local p...
Di Zang, Gerald Sommer
ICASSP
2010
IEEE
13 years 6 months ago
Algorithms for robust linear regression by exploiting the connection to sparse signal recovery
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Yuzhe Jin, Bhaskar D. Rao
CISS
2010
IEEE
12 years 10 months ago
Turbo reconstruction of structured sparse signals
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...
Philip Schniter