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 …

Since Tong et al.(1991) demonstrated the feasibility of identifying possibly nonminimum
phase channels using second-order statistics, considerable research activity, both in …

MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE,
Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11 a, IEEE 802.11 n) …

The quintessential goal of sensor array signal processing is the estimation of parameters by
fusing temporal and spatial information, captured via sampling a wavefield with a set of …

In the past few years we have written and edited several books in the area of
acousticandspeechsignalprocessing. Thereasonbehindthisendeavoristhat there were …

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 …

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

A review of blind channel estimation algorithms is presented. From the (second-order)
moment-based methods to the maximum likelihood approaches, under both statistical and …

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 …