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» On sparse signal representations
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BMCBI
2010
133views more  BMCBI 2010»
15 years 6 months ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang
ICASSP
2011
IEEE
14 years 9 months ago
Compressive power spectral density estimation
In this paper, we consider power spectral density estimation of bandlimited, wide-sense stationary signals from sub-Nyquist sampled data. This problem has recently received attent...
Michael A. Lexa, Mike E. Davies, John S. Thompson,...
ICASSP
2011
IEEE
14 years 9 months ago
Improved model-based spectral compressive sensing via nested least squares
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
Mahdi Shaghaghi, Sergiy A. Vorobyov
ICMCS
2005
IEEE
124views Multimedia» more  ICMCS 2005»
15 years 11 months ago
Efficient conversion method between subband domain representations
This paper presents an efficient method for the conversion between subband domain representations of different filter banks. It advantageously replaces the conventional cascade of...
Abdellatif Benjelloun Touimi, Adil Mouhssine
ICASSP
2010
IEEE
15 years 6 months ago
Design of sparse filters for channel shortening
Abstract—Channel shortening filters have been used in acoustics to reduce reverberation, in error control decoding to reduce complexity, and in communication systems to reduce i...
Aditya Chopra, Brian L. Evans