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106
Voted
ICASSP
2010
IEEE
15 years 26 days ago
Enhancing sparsity in linear prediction of speech by iteratively reweighted 1-norm minimization
Linear prediction of speech based on 1-norm minimization has already proved to be an interesting alternative to 2-norm minimization. In particular, choosing the 1-norm as a convex...
Daniele Giacobello, Mads Græsbøll Chr...
ECOOPW
1998
Springer
15 years 4 months ago
The Matrix Template Library: A Unifying Framework for Numerical Linear Algebra
Abstract. We present a uni ed approach for expressing high performance numerical linear algebra routines for a class of dense and sparse matrix formats and shapes. As with the Stan...
Jeremy G. Siek, Andrew Lumsdaine
86
Voted
STOC
2009
ACM
119views Algorithms» more  STOC 2009»
16 years 1 months ago
Explicit construction of a small epsilon-net for linear threshold functions
We give explicit constructions of epsilon nets for linear threshold functions on the binary cube and on the unit sphere. The size of the constructed nets is polynomial in the dime...
Yuval Rabani, Amir Shpilka
47
Voted
ICASSP
2008
IEEE
15 years 7 months ago
Matrix-based linear predictive compression of multi-channel surface emg signals
We propose a linear predictive coding technique for multichannel electromyographic (EMG) recordings. The signals are acquired using two-dimensional grid of electrodes which genera...
Elias S. G. Carotti, Juan Carlos De Martin, Robert...
94
Voted
ICASSP
2009
IEEE
15 years 4 months ago
Joint estimation of short-term and long-term predictors in speech coders
In low bit-rate coders, the near-sample and far-sample redundancies of the speech signal are usually removed by a cascade of a shortterm and a long-term linear predictor. These tw...
Daniele Giacobello, Mads Græsbøll Chr...