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TIT
2008
102views more  TIT 2008»
13 years 5 months ago
On Low-Complexity Maximum-Likelihood Decoding of Convolutional Codes
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
Jie Luo
ICC
2009
IEEE
107views Communications» more  ICC 2009»
14 years 4 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 ...
GLOBECOM
2008
IEEE
13 years 12 months ago
Low-Complexity Maximum Likelihood Detection of Orthogonal Space-Time Block Codes
Abstract— In this paper, we propose a low complexity Maximum Likelihood (ML) decoding algorithm for orthogonal spacetime block codes (OSTBCs) based on the real-valued lattice rep...
Luay Azzam, Ender Ayanoglu
ICC
2007
IEEE
13 years 11 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
GLOBECOM
2008
IEEE
13 years 12 months ago
Near-Capacity Three-Stage Downlink Iteratively Decoded Generalized Layered Space-Time Coding with Low Complexity
Abstract— This paper presents a low complexity iteratively detected space-time transmission architecture based on Generalized Layered Space-Time (GLST) codes and IRregular Convol...
Lingkun Kong, Soon Xin Ng, Lajos Hanzo