This paper presents a Volterra filtered-X least mean square (LMS) algorithm for feedforward
active noise control. The research has demonstrated that linear active noise control (ANC) …

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

Processes encountered in statistical signal processing, communications, and time series
analysis applications are often assumed stationary. The plethora of available algorithms …

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 …

Blind fractionally spaced equalizers reduce intersymbol interference using second-order
statistics without the need for training sequences. Methods for finding FIR zero-forcing blind …

A discrete-time equivalent system model is derived for differential and transmitted reference
(TR) ultra-wideband (UWB) impulse radio (IR) systems, operating under heavy intersymbol …

In the last decade, kernel methods have become established techniques to perform
nonlinear signal processing. Thanks to their foundation in the solid mathematical framework …

We consider the problem of blind identification and equalization of single-input multiple-
output (SIMO) nonlinear channels. Specifically, the nonlinear model consists of multiple …

The application of a fractionally sampled autocorrelation receiver (AcR) is proposed for the
demodulation of transmitted-reference (TR) signals, to simplify synchronization and …

Nonlinear distortions are important issues in many communications systems. Therefore, this
paper deals with the blind and semi-blind identification of nonlinear SIMO/MIMO channels …