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» Basis Reduction, and the Complexity of Branch-and-Bound
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GLOBECOM
2006
IEEE
16 years 2 days 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»
15 years 6 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»
15 years 10 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
15 years 26 days 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
14 years 9 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