* Blind synchronization with single- and multi-sensor arrays * Space-time transmit-receive diversity combining systems * New physical layer solutions for CDMA and multicarrier systems * For every engineering professional involved with signal processing for advanced communications Key advances in signal processing for single-user and multi-user systems. Signal Processing Advances in Communication, Volume II is the second in a two-volume set that introduces important recent advances in signal processing (SP) tools for wireless and mobile communications, and bringing together contributions by leaders in the field worldwide. This two-volume set covers an exceptionally wide range of technologies and methodologies, including noise and interference cancellation, modem design, mobile Internet services, next-generation audio/video broadcasting, cellular telephony, and wireless multimedia networks. Volume II focuses on single- and multi-user communication systems, presenting an exceptionally wide range of today's best work on topics such as: * Blind synchronization with single- and multi-sensor arrays * Space-time transmit-receive diversity combining systems * Time-varying channel modeling * Signal separation with constant modulus constraints * Parallel factor analysis tools * New methods for canceling multiuser interference and mitigating multipath effects in CDMA and multicarrier systems at the physical layer * Key signal processing issues at the network layer This book brings together research previously scattered across multiple journals worldwide, delivering an unprecedented collection of advanced SP techniques for practicing engineers, researchers, managers, and any professional involved with designing or building state-of-the-art single- or multi-user communications systems.
DR. GEORGIOS GIANNAKIS is Professor in the Electrical Engineering Department at the University of Minnesota. Giannakis' research interests include signal processing, communications, time series analysis, estimation and detection theory, and system identification. His specific areas of expertise include (poly)spectral analysis, wavelets, and cyclostationary and non-Gaussian signal processing for sonar, SAR, array and image processing applications. Formerly Professor in the Communications, Control, and Signal Processing Laboratory at the University of Virginia, he holds a Ph.D. in electrical engineering from the University of Southern California, Los Angeles.