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ICASSP
2010
IEEE
13 years 7 months ago
Wideband spectral estimation from compressed measurements exploiting spectral a priori information in Cognitive Radio systems
In Cognitive Radio scenarios channelization information from primary network may be available to the spectral monitor. Under this assumption we propose a spectral estimation algor...
Gonzalo Vazquez-Vilar, Roberto López-Valcar...
ICASSP
2009
IEEE
14 years 2 months ago
Sparse source separation from orthogonal mixtures
This paper addresses source separation from a linear mixture under two assumptions: source sparsity and orthogonality of the mixing matrix. We propose efficient sparse separation...
Moshe Mishali, Yonina C. Eldar
ACL
2009
13 years 5 months ago
Distributional Representations for Handling Sparsity in Supervised Sequence-Labeling
Supervised sequence-labeling systems in natural language processing often suffer from data sparsity because they use word types as features in their prediction tasks. Consequently...
Fei Huang, Alexander Yates
ICASSP
2011
IEEE
12 years 11 months ago
Decentralized support detection of multiple measurement vectors with joint sparsity
This paper considers the problem of finding sparse solutions from multiple measurement vectors (MMVs) with joint sparsity. The solutions share the same sparsity structure, and th...
Qing Ling, Zhi Tian
ICA
2010
Springer
13 years 7 months ago
Double Sparsity: Towards Blind Estimation of Multiple Channels
We propose a framework for blind multiple filter estimation from convolutive mixtures, exploiting the time-domain sparsity of the mixing filters and the disjointness of the sources...
Prasad Sudhakar, Simon Arberet, Rémi Gribon...