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ICASSP
2008
IEEE
15 years 10 months 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»
15 years 10 months 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...
135
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ICC
2007
IEEE
15 years 10 months 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
15 years 9 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»
15 years 10 months 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 ...