In this chapter, we discuss a statistical generative model called independent component
analysis. It is basically a proper probabilistic formulation of the ideas underpinning sparse …

This manuscript presents a survey on new challenges in wireless communication systems
and discusses recent approaches to address some recently raised problems by the wireless …

The blind separation of sources is a recent and important problem in signal processing.
Since 1984, it has been studied by many authors whilst many algorithms have been …

In this chapter, we provide an overview of existing algorithms for blind source separation of
convolutive audio mixtures. We provide a taxonomy in which many of the existing algorithms …

In this paper, we propose a reduced complexity parallel least mean square structure (RC-
pLMS) for adaptive beamforming and its pipelined hardware implementation. RC-pLMS is …

Implementation Issues in Blind Source Separation In Chap. 5, we have derived BSS
algorithms using Sylvester matrices. The Sylvester-based notation allows the separation …

This paper addresses blind source separation in convolutive post nonlinear (CPNL)
mixtures. In these mixtures, the sources are mixed convolutively, and then measured by …

This paper deals with the problem of blind separation of an instantaneous mixture of
Gaussian autoregressive sources, without additive noise, by the exact maximum likelihood …

Since the beginning of the last two decades, many researchers have been involved in the
problem of Blind Source Separation (BSS). Whilst hundreds of algorithms have been …

A method to perform convolutive blind source separation of super-Gaussian sources by
minimizing the mutual information between segments of output signals is presented. The …