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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: Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, | EURASIP Journal on Applied Signal Processing 2005 5 601-603 2005 Hindawi Publishing Corporation Editorial Geert Leus Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 2628 CD Delft The Netherlands Email leus@cas.et.tudelft.nl Philippe Loubaton Equipe Signal et Communications IGM LabInfo UMR 8049 Universite de Marne-la-Vallee 5 boulevard Descartes Cite Descartes Champs sur Marne 77454 Marne-la-Vallee Cedex2 France Email loubaton@univ-mlv.fr Dirk Slock Institut Eurecom 2229 routes des Cretes BP 193 06904 Sophia Antipolis Cedex France Email slock@eurecom.fr Michael D. Zoltowski School of Electrical and Computer Engineering Purdue University West Lafayette IN 47907-2035 USA Email mikedz@ecn.purdue.edu The past few years have been marked by a worldwide standardization activity for third-generation 3G wireless systems which are intended to deliver high data rates and are expected to handle multimedia applications in addition to voice. The key multiple-access technique that has been chosen for 3G wireless systems is CDMA. The performance of 3G wireless systems might not be sufficient to meet the needs of future high-performance multimedia applications such as full-motion video and teleconferencing. Hence there will be a need for systems that extend the capabilities of 3G wireless systems sometimes referred to as fourth-generation 4G wireless systems whatever they might be. It is likely that these wireless systems will retain a CDMA component but compared to 3G wireless systems the changed operating conditions will present a new set of challenges in the development of CDMA detection techniques. The aim of this special issue is to cover present research in the development of improved CDMA detection techniques for future wireless systems. Following the review process thirteen papers have been selected for this issue. They can be classified into four broad categories detection techniques for downlink CDMA detection .
