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» Basis Reduction, and the Complexity of Branch-and-Bound
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GLOBECOM
2006
IEEE
13 years 11 months ago
A Lattice-Reduction-Aided Soft Detector for Multiple-Input Multiple-Output Channels
— Lattice basis reduction is a powerful technique that enables a hard-output detector for a multiple-input multiple-output channel to approach maximum-likelihood performance with...
David L. Milliner, John R. Barry
TASLP
2008
120views more  TASLP 2008»
13 years 4 months ago
Rapid Speaker Adaptation Using Clustered Maximum-Likelihood Linear Basis With Sparse Training Data
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
Yun Tang, Richard Rose
STOC
1999
ACM
176views Algorithms» more  STOC 1999»
13 years 9 months ago
On the Complexity of Computing Short Linearly Independent Vectors and Short Bases in a Lattice
Motivated by Ajtai’s worst-case to average-case reduction for lattice problems, we study the complexity of computing short linearly independent vectors (short basis) in a lattic...
Johannes Blömer, Jean-Pierre Seifert
INTERSPEECH
2010
12 years 11 months ago
Morphological and predictability effects on schwa reduction: the case of dutch word-initial syllables
This corpus-based study shows that the presence and duration of schwa in Dutch word-initial syllables are affected by a word's predictability and its morphological structure....
Iris Hanique, Barbara Schuppler, Mirjam Ernestus
ICASSP
2011
IEEE
12 years 8 months ago
Efficient lattice-reduction-aided MMSE decision-feedback equalization
Since optimum diversity behavior can be achieved, equalization based on lattice basis reduction is of special interest for transmission over MIMO channels. Although the per-symbol...
Robert F. H. Fischer