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» Performance Tuning of Iterative Algorithms in Signal Process...
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98
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ICS
2010
Tsinghua U.
15 years 21 days ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
76
Voted
IPSN
2007
Springer
15 years 4 months ago
Robust system multiangulation using subspace methods
Sensor location information is a prerequisite to the utility of most sensor networks. In this paper we present a robust and low-complexity algorithm to self-localize and orient se...
Joshua N. Ash, Lee C. Potter
ICASSP
2010
IEEE
14 years 10 months ago
An online quasi-Newton algorithm for blind SIMO identification
In the last decade various time- and frequency-domain algorithms were derived to blindly identify acoustic systems. One of these algorithms is the multichannel Newton (MCN) algori...
Emanuel A. P. Habets, Patrick A. Naylor
94
Voted
ICASSP
2009
IEEE
15 years 5 months ago
Generalized Baum-Welch algorithm for discriminative training on large vocabulary continuous speech recognition system
We propose a new optimization algorithm called Generalized Baum Welch (GBW) algorithm for discriminative training on hidden Markov model (HMM). GBW is based on Lagrange relaxation...
Roger Hsiao, Yik-Cheung Tam, Tanja Schultz
78
Voted
ICASSP
2011
IEEE
14 years 2 months ago
Efficient NLMS and RLS algorithms for a class of nonlinear filters using periodic input sequences
The paper discusses computationally efficient NLMS and RLS algorithms for a broad class of nonlinear filters using periodic input sequences. The class comprises all nonlinear ...
Alberto Carini, V. John Mathews, Giovanni L. Sicur...