With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …

We present new results on the nonlinear principal component analysis (PCA) criterion in
blind source separation (BSS). We derive the criterion in a form that allows easy …

Learning algorithms and underlying basic mathematical ideas are presented for the problem
of adaptive blind signal processing, especially instantaneous blind separation and …

A systematic exploration of both classic and contemporary algorithms in blind source
separation with practical case studies The book presents an overview of Blind Source …

Blind deconvolution is an important task for numerous applications in control, signal
processing, and communications. In this paper, the efficient natural gradient [Amari et …

Blind deconvolution and separation of linearly mixed and convolved sources is an important
and challenging task for numerous applications. While several algorithms have shown …

The relative Newton algorithm, previously proposed for quasi-maximum likelihood blind
source separation and blind deconvolution of one-dimensional signals is generalized for …

Blind source separation (BSS) methods have received extensive attention over the past two
decades; thanks to its wide applicability in a number of areas such as biomedical …

Blind image deconvolution is constantly receiving increasing attention from the academic as
well the industrial world due to both its theoretical and practical implications. The field of …

Edited by the people who were forerunners in creating the field, together with contributions
from 34 leading international experts, this handbook provides the definitive reference on …