Blind system identification (BSI) is a fundamental signal processing technology aimed at retrieving a system's unknown information from its output only. This technology has a wide …
A Cichocki - John Wiley & Sons google schola, 2002 - books.google.com
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 consider the problem of recovering two unknown vectors, w and x, of length L from their circular convolution. We make the structural assumption that the two vectors are members of …
Speech dereverberation is a signal processing technique of key importance for successful hands-free speech acquisition in applications of telecommunications and automatic speech …
AJ Paulraj, CB Papadias - IEEE signal processing magazine, 1997 - ieeexplore.ieee.org
Space-time processing can improve network capacity, coverage, and quality by reducing co- channel interference (CCI) while enhancing diversity and array gain. This article focuses …
HF Chen - Encyclopedia of Systems and Control, 2021 - Springer
The topic of stochastic approximation (SA) and its pioneer algorithm (the Robbins-Monro (RM) algorithm) with methods for its convergence analysis are described. Algorithms …
The time-varying impulse response of rapidly fading mobile communication channels is expanded over a basis of complex exponentials that arise due to Doppler effects …
L Tong, S Perreau - Proceedings of the IEEE, 1998 - ieeexplore.ieee.org
A review of blind channel estimation algorithms is presented. From the (second-order) moment-based methods to the maximum likelihood approaches, under both statistical and …
S Amari, A Cichocki - Proceedings of the IEEE, 1998 - ieeexplore.ieee.org
Learning algorithms and underlying basic mathematical ideas are presented for the problem of adaptive blind signal processing, especially instantaneous blind separation and …