tailieunhanh - Báo cáo hóa học: " Editorial Advanced Equalization Techniques for Wireless Communications"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Advanced Equalization Techniques for Wireless Communications | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 623540 2 pages doi 2010 623540 Editorial Advanced Equalization Techniques for Wireless Communications Xiaoli Ma 1 Tim Davidson 2 Alex Gershman 3 Ananthram Swami 4 and Cihan Tepedelenlioglu5 1 School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30032 USA 2 Department of Electrical and Computer Engineering McMaster University Hamilton ON Canada L8S 4K1 3Institute of Telecommunications Communication Systems Group Darmstadt University of Technology 64283 Darmstadt Germany 4 Army Research Laboratory Adelphi MD 20783 USA 5 Department of Electrical and Computer Engineering Arizona State University Tempe AZ 85287 USA Correspondence should be addressed to Xiaoli Ma xiaoli@ Received 31 December 2010 Accepted 31 December 2010 Copyright 2010 Xiaoli Ma et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. With the introduction of personal communications services and digital packet data services broadband wireless technology has experienced a significant upswing in recent years. To support the fast-growing wireless market wireless systems must cope with the formidable challenges that stem from wireless fading and multipath effects interference finite-precision DSP high-signal dimension and limited device size to name a few. The goal is to design low-cost wireless devices that can communicate effectively at high data rates. To achieve this goal an essential step is channel equalization. A desirable equalizer achieves high performance when operating at a high data rate and does so at low computational cost. The tradeoffs among performance data rate and complexity metrics are fundamental yet challenging in both the theoretical development and in hardware .