Deterministic blind beamforming algorithms try to separate superpositions of source signals
impinging on a phased antenna array by using the deterministic properties of the signals or …

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

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 …

Weather and climate is a fascinating system, which affects our daily lives, and is closely
interlinked with the environment, society and infrastructure. They have large impact on our …

This paper presents a unified approach to the problem of blind separation of sources, based
on the concept of mutual information. This concept is applied to the whole source sequences …

The last fifteen years have witnessed a tremendous resurgence in research and applications
in the area of higher-order statistics (HOS), a broad term encompassing statistical …

A myriad of applications require the extraction of a set of signals which are not directly
accessible. Instead, this extraction must be carried out from another set of measurements …

This book provides a detailed survey of the methods that were recently developed to handle
advanced versions of the blind source separation problem, which involve several types of …

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 …