Estimating the mixing matrix in Sparse Component Analysis (SCA) using EM algorithm and iterative Bayesian clustering - researchr publication related

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Hadi Zayyani, Massoud Babaie-Zadeh, Christian Jutten. Estimating the mixing matrix in Sparse Component Analysis (SCA) using EM algorithm and iterative Bayesian clustering. In 2008 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008. pages 1-5, IEEE, 2008. [doi]

The following publications are possibly variants of this publication:

Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clusteringFarid Movahedi Naini, G. Hosein Mohimani, Massoud Babaie-Zadeh, Christian Jutten. ijon, 71(10-12):2330-2343, 2008. [doi]

Estimating the mixing matrix in underdetermined Sparse Component Analysis (SCA) using consecutive independent component analysis (ICA)A. Javanmard, P. Pad, Massoud Babaie-Zadeh, Christian Jutten. eusipco 2008: 1-5 [doi]

Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP AlgorithmHadi Zayyani, Massoud Babaie-Zadeh, G. Hosein Mohimani, Christian Jutten. ica 2007: 438-445 [doi]

Approximated Cramér-Rao bound for estimating the mixing matrix in the two-sensor noisy Sparse Component Analysis (SCA)Hadi Zayyani, Massoud Babaie-Zadeh. dsp, 23(3):771-779, 2013. [doi]

Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant ProblemNima Noorshams, Massoud Babaie-Zadeh, Christian Jutten. ica 2007: 397-405 [doi]

An iterative Bayesian algorithm for sparse component analysis in presence of noiseHadi Zayyani, Massoud Babaie-Zadeh, Christian Jutten. tsp, 57(11):4378-4390, 2009. [doi]

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