Bayesian source separation of linear-quadratic and linear mixtures through a MCMC method
暂无分享,去创建一个
[1] S. Kay. Fundamentals of statistical signal processing: estimation theory , 1993 .
[2] S. Walker,et al. Sampling Truncated Normal, Beta, and Gamma Densities , 2001 .
[3] D. Brie,et al. Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling , 2006, IEEE Transactions on Signal Processing.
[4] Yannick Deville,et al. Recurrent networks for separating extractable-target nonlinear mixtures. Part I: Non-blind configurations , 2009, Signal Process..
[5] Simon J. Godsill,et al. A Bayesian Approach for Blind Separation of Sparse Sources , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[6] Christian P. Robert,et al. The Bayesian choice , 1994 .
[7] Guillermo Bedoya Jimenez. Non-linear blind signal separation for chemical solid-state sensor arrays , 2006 .
[8] Yannick Deville,et al. Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure , 2009, IWANN.
[9] Yannick Deville,et al. Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture , 2004, ICA.
[10] Juha Karhunen,et al. Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures , 2004, Int. J. Neural Syst..