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 …

Blind system identification (BSI) is a fundamental signal processing technology aimed at
retrieving a system's unknown information from its output only. This technology has a wide …

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

This paper addresses a problem arising in a context of digital communications. A digital
source is transmitted through a continuous channel (the propagation medium), and several …

A new blind channel identification and equalization method is proposed that exploits the
cyclostationarity of oversampled communication signals to achieve identification and …

Conventional blind channel identification algorithms are based on channel outputs and
knowledge of the probabilistic model of channel input. In some practical applications …

Single-and Multi-carrier Quadrature Amplitude Modulation Principles and Applications for
Personal Communications, WLANs and Broadcasting L. Hanzo Department of Electronics …

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 …

Bridging the gap between the video compression and communication communities, this
unique volume provides an all-encompassing treatment of wireless video communications …

An adaptive blind equalization method is introduced for nonminimum phase communication
channels. The method estimates the inverse channel impulse response, by using the …