9 search results - page 1 / 2 » Near-ML Detection over a Reduced Dimension Hypersphere |
GLOBECOM
2009
IEEE
13 years 8 months ago
2009
IEEE
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...
VTC
2006
IEEE
13 years 11 months ago
2006
IEEE
The interest in near-ML detection algorithms for Multiple-Input/lMultiple-Output (MIMO) systems have always been high due to their drastic performance gain over suboptimal algorith...
VTC
2008
IEEE
13 years 11 months ago
2008
IEEE
—When the maximum number of best candidates retained at each tree search level of the K-Best Sphere Detection (SD) is kept low for the sake of maintaining a low memory requiremen...
TSP
2010
12 years 11 months ago
2010
In this paper, we consider a low-complexity detection technique referred to as a reduced dimension maximum-likelihood search (RD-MLS). RD-MLS is based on a partitioned search which...
TKDE
2011
12 years 11 months ago
2011
—We consider approaches for similarity search in correlated, high-dimensional data-sets, which are derived within a clustering framework. We note that indexing by “vector appro...