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

In this paper, we propose a method to model nonlinear systems using polynomial nonlinear
state space equations. Obtaining good initial estimates is a major problem in nonlinear …

We address the problem of separation of mutually independent sources in nonlinear
mixtures. First, we propose theoretical results and prove that in the general case, it is not …

The present bibliography represents a comprehensive list of references on nonlinear system
identification and its applications in signal processing, communications, and biomedical …

In this paper, we review recent advances in blind source separation (BSS) and independent
component analysis (ICA) for nonlinear mixing models. After a general introduction to BSS …

The present bibliography represents a comprehensive list of references on cyclostationarity
and its applications. An attempt has been made to make this bibliography complete by listing …

In recent years, a wealth of research has emerged addressing various aspects of mobile
communications signal processing. New applications and services are continually arising …

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 …

Truncated Volterra expansions model nonlinear systems encountered with satellite
communications, magnetic recording channels, and physiological processes. A general …

This paper is about the identification of discrete-time Hammerstein systems from output
measurements only (blind identification). Assuming that the unobserved input is white …