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

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 simple method is proposed for blind identification of discrete-time nonlinear models
consisting of two linear time invariant (LTI) subsystems separated by a polynomial-type zero …

This paper focuses on blind compensation of memoryless nonlinear distortions in sparse
signals. A nonlinear distortion tends to decrease the sparsity. We propose to compensate for …

This paper extends blind single-input single-output (SISO) Volterra-system identification
from the second-order statistics (SOSs) domain into the third-order statistics domain. For the …

This paper deals with the problem of nonlinear echo cancellation. One of the established
approaches to this task is that of adaptive filtering using power filters. These filters model the …