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ICASSP
2008
IEEE
14 years 7 days ago
Maximum likelihood binary detection in improper complex gaussian noise
In a wide range of communication systems, including DS-CDMA and OFDM systems, the signal-of-interest might be corrupted by an improper [1] (also called non circularly symmetric [2...
Amirhossein S. Aghaei, Konstantinos N. Plataniotis...
VTC
2008
IEEE
110views Communications» more  VTC 2008»
14 years 4 days ago
Performance Analysis on Maximum Likelihood Detection for Two Input Multiple Output Systems
-This paper addresses the problem of performance analysis for maximum likelihood (ML) detection in two-input multiple-output multiplexing systems. A novel analytical method is pres...
Wei Peng, Shaodan Ma, Tung-Sang Ng, Jiangzhou Wang...
ICC
2007
IEEE
14 years 3 days ago
Statistical Pruning for Near Maximum Likelihood Detection of MIMO Systems
Abstract— We show a statistical pruning approach for maximum likelihood (ML) detection of multiple-input multiple-output (MIMO) systems. We present a general pruning strategy for...
Tao Cui, Tracey Ho, Chintha Tellambura
VTC
2006
IEEE
13 years 11 months ago
Reduced-Complexity Maximum-Likelihood Detection in Downlink SDMA Systems
— The literature of up-link SDMA systems is rich, but at the time of writing there is a paucity of information on the employment of SDMA techniques in the down-link. Hence, in th...
Jos Akhtman, Chun-Yi Wei, Lajos Hanzo
ICC
2009
IEEE
107views Communications» more  ICC 2009»
14 years 16 days ago
EM-Based Maximum-Likelihood Sequence Detection for MIMO Optical Wireless Systems
—A major performance-limiting factor in terrestrial optical wireless (OW) systems is turbulence-induced fading. Exploiting the additional degrees of freedom in the spatial dimens...
Nestor D. Chatzidiamantis, Murat Uysal, Theodoros ...