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From the Publisher: A unified framework for using today's most advanced signal processing techniques Driven by the rapidly escalating capacity demands of emerging wireless systems, researchers havedeveloped a wide array of novel signal processing techniques for use in such systems. Now, twoleading researchers synthesize the field's vast new literature, giving working engineers practicalguidance for designing advanced wireless receivers. Drs. Xiaodong Wang and H. Vincent Poor offer a complete framework for developing, analyzing, andunderstanding the explicit algorithms needed for advanced processing in emerging wireless systems.They address a full range of physical-layer issues, including multipath, dispersion, interference,dynamism, and multiple-antenna systems. In many cases, the authors themselves developed the methodsthey present. Coverage includes: An overview of contemporary wireless signaling environments and basic receiver signal processing techniques Blind, group-blind, space-time, and turbo multiuser detection Robust multiuser detection in non-Gaussian channels Narrowband interference suppression: linear and non-linear predictive techniques, performance comparisons, and more Monte Carlo Bayesian signal processing Signal processing for fast fading channels Advanced signal processing for coded OFDM systems

Cited By

Albataineh Z and Salem F (2017). Adaptive Blind CDMA Receivers Based on ICA Filtered Structures, Circuits, Systems, and Signal Processing , 36 :8 , (3320-3348), Online publication date: 1-Aug-2017 .

Wang J, Wen O, Chen H and Li S (2011). Power allocation between pilot and data symbols for MIMO systems with MMSE detection under MMSE channel estimation, EURASIP Journal on Wireless Communications and Networking , 2011 , (1-9), Online publication date: 1-Jan-2011 .

Trivedi A and Gupta R (2010). Improved ML Channel Estimation for Uplink MC-CDMA Systems in Closely Spaced Multipath Channels, Wireless Personal Communications: An International Journal , 52 :2 , (341-357), Online publication date: 1-Jan-2010 .

Lu H and Fang W (2009). Soft information assisted space-time multiuser detection for highly loaded CDMA, IEEE Transactions on Wireless Communications , 8 :2 , (662-667), Online publication date: 1-Feb-2009 .

Hansen M, Hassibi B, Dimakis A and Xu W Near-optimal detection in MIMO systems using Gibbs sampling Proceedings of the 28th IEEE conference on Global telecommunications, (2761-2766)

Absar J, Li M, Raghavan P, Lambrechts A, Jayapala M, Vandecappelle A and Catthoor F Locality optimization in wireless applications Proceedings of the 5th IEEE/ACM international conference on Hardware/software codesign and system synthesis, (125-130)

Hoang-Yang Lu and Wen-Hsien Fang Soft Information Assisted Space-Time Multiuser Detection for Multipath CDMA Proceedings of the 2007 IEEE Wireless Communications and Networking Conference, (917-921)

Bykowski M Turbo codes in DSSS systems and a method of their performance improvement in non-white additive noise Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation, (31-35)

Bykowski M Turbo codes in DSSS systems and a method of their performance improvement in non-white additive noise Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation, (31-35)

Zheng Z Neural network-based receiver for uplink multiuser code division multiple access communication system Proceedings of the 8th international conference on Intelligent data engineering and automated learning, (345-355)

Poor H (2002). Dynamic Programming in Digital Communications, Journal of Optimization Theory and Applications , 115 :3 , (629-657), Online publication date: 1-Dec-2002 .