This paper provides a tutorial introduction to the constant modulus (CM) criterion for blind
fractionally spaced equalizer (FSE) design via a (stochastic) gradient descent algorithm …

Within the wide range of issues related to 4G wireless networks, due to the scope of the
ISSTA conference, in this presentation we highlight some segments of wireless networks …

Blind image deblurring (BID) has been extensively studied in computer vision and adjacent
fields. Modern methods for BID can be grouped into two categories: single-instance methods …

A general tool for multichannel and multipath problems is given in FIR matrix algebra. With
Finite Impulse Response (FIR) filters (or polynomials) assuming the role played by complex …

We address in this paper the problem of self-calibration and metric reconstruction (up to a
scale factor) from one unknown motion of an uncalibrated stereo rig. The epipolar constraint …

By generalizing and modifying some existing cost-functions, we present two new, generic
and efficient multimodulus families of blind equalization algorithms for use in higher-order …

Bounded Component Analysis (BCA) is a recent approach which enables the separation of
both dependent and independent signals from their mixtures. In this approach, under the …

Bounded Component Analysis (BCA) is a recent framework which enables development of
methods for the separation of dependent as well as independent sources from their …

This paper highlights, both analytically and by simulations, some interesting phenomena
regarding the behavior of ensemble-average learning curves of adaptive filters that may …

Bounded component analysis (BCA) is a framework that can be considered as a more
general framework than independent component analysis (ICA) under the boundedness …