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 …

With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …

An important accomplishment of information theory is the determination of the channel
capacity, C, which quantifies the maximum achievable transmission rate, C∗, of a system …

This text seeks to clarify various contradictory claims regarding capabilities and limitations of
blind equalization. It highlights basic operating conditions and potential for malfunction. The …

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

The consider the problem of recovering p synchronous communication signals that are
transmitted through a multiple-input/multiple-output (MIMO) linear channel and are …

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 …

The constant modulus algorithm (CMA) for blind equalization requires a separate carrier-
recovery system for phase recovery. This letter mathematically analyzes a modified CMA …

This paper presents a novel approach to the blind linear equalization of possibly
nonminimum phase and time-varying communication channels. In the context of channel …

In this paper, we investigate adaptive blind source separation and equalization for multiple-
input/multiple-output (MIMO) systems. We first analyze the convergence of the constant …