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» Optimal Approximation of Signal Priors
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ICASSP
2008
IEEE
14 years 3 months ago
A new Particle Filtering algorithm with structurally optimal importance function
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
Boujemaa Ait-El-Fquih, François Desbouvries
ICASSP
2011
IEEE
13 years 20 days ago
RSS-based sensor localization with unknown transmit power
Received signal strength (RSS)-based single source localization when there is not a prior knowledge about the transmit power of the source is investigated. Because of nonconvex be...
Reza M. Vaghefi, Mohammad Reza Gholami, Erik G. St...
UAI
2004
13 years 10 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
ICIAR
2010
Springer
14 years 1 months ago
Structural Similarity-Based Approximation of Signals and Images Using Orthogonal Bases
The structural similarity (SSIM) index has been shown to be an useful tool in a wide variety of applications that involve the assessment of image quality and similarity. However, i...
Dominique Brunet, Edward R. Vrscay, Zhou Wang
ICPR
2010
IEEE
13 years 9 months ago
Semi-blind Speech-Music Separation Using Sparsity and Continuity Priors
—In this paper we propose an approach for the problem of single channel source separation of speech and music signals. Our approach is based on representing each source’s power...
Hakan Erdogan, Emad M. Grais