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» Gossip Algorithms for Distributed Signal Processing
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ICASSP
2011
IEEE
12 years 11 months ago
Convergence results in distributed Kalman filtering
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...
ICIP
2005
IEEE
14 years 9 months ago
Generalized Wiener estimation algorithms based on a family of heavy-tail distributions
A fundamental problem in signal processing is to estimate signal from noisy observations. When some prior information about the statistical models of the signal and noise is avail...
Guang Deng
ICASSP
2008
IEEE
14 years 2 months ago
Distributed compressed sensing: Sparsity models and reconstruction algorithms using annihilating filter
Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some commo...
Ali Hormati, Martin Vetterli
IJCNN
2000
IEEE
14 years 5 days ago
A Constraint Learning Algorithm for Blind Source Separation
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...
Kenji Nakayama, Akihiro Hirano, Motoki Nitta
ICASSP
2011
IEEE
12 years 11 months ago
Distributed LCMV beamforming in wireless sensor networks with node-specific desired signals
We consider distributed linearly constrained minimum variance (LCMV) beamforming in a wireless sensor network. Each node computes an LCMV beamformer with node-specific constraint...
Alexander Bertrand, Marc Moonen