Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
Abstract. Denoising source separation is a recently introduced framework for building source separation algorithms around denoising procedures. Two developments are reported here. ...
In this paper we proposed quasi-Newton and limited memory quasi-Newton methods for objective functions defined on Grassmannians or a product of Grassmannians. Specifically we defin...
Abstract. Recently, the authors developed the Minimax Mutual Information algorithm for linear ICA of real-valued mixtures, which is based on a density estimate stemming from Jaynes...
Jian-Wu Xu, Deniz Erdogmus, Yadunandana N. Rao, Jo...
Abstract. In this paper, a variant of the well known algorithm FastICA is proposed to be used for blind source separation in off-line (block processing) setup and a noisy environm...