Variational and stochastic inference for Bayesian source separation

Author:

Cemgil A. Taylan,Févotte Cédric,Godsill Simon J.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference49 articles.

1. A. Mohammad-Djafari, A Bayesian estimation method for detection, localisation and estimation of superposed sources in remote sensing, in: SPIE'97, San Diego, July 1997

2. A. Mohammad-Djafari, A Bayesian approach to source separation, in: Proc. 19th International Workshop on Bayesian Inference and Maximum Entropy Methods (MaxEnt99), Boise, USA, August 1999

3. K.H. Knuth, Bayesian source separation and localization, in: SPIE'98: Bayesian Inference for Inverse Problems, San Diego, July 1998, pp. 147–158

4. K.H. Knuth, A Bayesian approach to source separation, in: Proc. 1st International Workshop on Independent Component Analysis and Signal Separation, Aussois, France, January 1999, pp. 283–288

5. K.H. Knuth, H.G. Vaughan, Convergent Bayesian formulations of blind source separation and electromagnetic source estimation, in: Maximum Entropy and Bayesian Methods (MaxEnt), Munich, 1998, pp. 217–226

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