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ICASSP
2009
IEEE
15 years 11 months ago
Conditional random fields for the prediction of signal peptide cleavage sites
Correct prediction of signal peptide cleavage sites has a significant impact on drug design. State-of-the-art approaches to cleavage site prediction typically use generative mode...
Man-Wai Mak, Sun-Yuan Kung
ICASSP
2008
IEEE
15 years 11 months ago
Blind estimation of reverberation time based on the distribution of signal decay rates
The reverberation time is one of the most prominent acoustic characteristics of an enclosure. Its value can be used to predict speech intelligibility, and is used by speech enhanc...
Jimi Y. C. Wen, Emanuel A. P. Habets, Patrick A. N...
ICASSP
2008
IEEE
15 years 11 months ago
A new class of lifting wavelet transform for guaranteeing losslessness of specific signals
This paper proposes a new class of lifting wavelet transform which can guarantee losslessness of specific signals, e.g. white balance. The 5/3 wavelet transform composed of two li...
Hitoshi Kiya, Masahiro Iwahashi, Osamu Watanabe
ICASSP
2008
IEEE
15 years 11 months ago
Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
ASC
2006
15 years 6 months ago
Supervised neuronal approaches for EEG signal classification: Experimental studies
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
Frédéric Alexandre, Kerkeni Nizar, K...