Recently the problem of determining the best, in the least-squares sense, rank-1
approximation to a higher-order tensor was studied and an iterative method that extends the …

Statistical signal processing has been one of the key technologies in the development of
wireless communication systems, especially for broadband multiuser communication …

As is well known, Hessian-based adaptive filters (such as the recursive-least squares
algorithm (RLS) for supervised adaptive filtering, or the Shalvi-Weinstein algorithm (SWA) for …

In this paper, we introduce a novel way of performing real-valued optimization in the
complex domain. This framework enables a direct complex optimization technique when the …

In this paper, we propose an approach to the transient and steady-state analysis of the affine
combination of one fast and one slow adaptive filters. The theoretical models are based on …

Blind source separation (BSS), ie, the decoupling of unknown signals that have been mixed
in an unknown way, has been a topic of great interest in the signal processing community for …

We re-examine a fixed-point algorithm proposed by Hyvarinen for independent component
analysis, wherein local convergence is proved subject to an ideal signal model using a …

The unsupervised adaptive mitigation of intersymbol interference in an additive impulsive
noise environment, modeled as generalized Gaussian, is dealt in this work. The theory of …

A finite-interval constant modulus algorithm is developed which is vastly simpler than the
Analytic Constant Modulus Algorithm and, unlike that algorithm, can claim to minimize a …

Kurtosis minimization has been applied for the existing blind equalization schemes but the
corresponding optimization procedures are very sensitive to the channel conditions and the …