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FOSSACS
2009
Springer
13 years 12 months ago
Full Abstraction for Reduced ML
traction for Reduced ML Andrzej S. Murawski and Nikos Tzevelekos Oxford University Computing Laboratory Wolfson Building, Parks Road, Oxford OX1 3QD, UK We present the first effe...
Andrzej S. Murawski, Nikos Tzevelekos
VTC
2010
IEEE
122views Communications» more  VTC 2010»
13 years 3 months ago
Space-Time Codes with Block-Orthogonal Structure and Their Simplified ML and Near-ML Decoding
Existing high-rate full diversity space-time codes (STC) always have high decoding complexity with traditional ML (maximum-likelihood) or near-ML decoding. Hence the decoding schem...
Tian Peng Ren, Yong Liang Guan, Chau Yuen, Er Yang...
IPPS
2010
IEEE
13 years 3 months ago
Hybrid MPI/Pthreads parallelization of the RAxML phylogenetics code
Abstract--A hybrid MPI/Pthreads parallelization was implemented in the RAxML phylogenetics code. New MPI code was added to the existing Pthreads production code to exploit parallel...
Wayne Pfeiffer, Alexandros Stamatakis
GLOBECOM
2009
IEEE
13 years 9 months ago
Near-ML Detection over a Reduced Dimension Hypersphere
Abstract--In this paper, we propose a near-maximum likelihood (ML) detection method referred to as reduced dimension ML search (RD-MLS). The RD-MLS detector is based on a partition...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer
ICC
2009
IEEE
130views Communications» more  ICC 2009»
13 years 12 months ago
A New Reduced Complexity ML Detection Scheme for MIMO Systems
Abstract— For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML) detection requires tremendous complexity as the number of antennas or modulation ...
Jin-Sung Kim, Sung Hyun Moon, Inkyu Lee