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» Spectral Decomposition of Signaling Networks
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CORR
2006
Springer
73views Education» more  CORR 2006»
13 years 7 months ago
A Fast and Accurate Nonlinear Spectral Method for Image Recognition and Registration
This article addresses the problem of two- and higher dimensional pattern matching, i.e. the identification of instances of a template within a larger signal space, which is a for...
Luciano da Fontoura Costa, Erik Bollt
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 7 months ago
Optimally Sparse Frames
Frames have established themselves as a means to derive redundant, yet stable decompositions of a signal for analysis or transmission, while also promoting sparse expansions. Howe...
Peter G. Casazza, Andreas Heinecke, Felix Krahmer,...
INTERSPEECH
2010
13 years 2 months ago
Reduction of broadband noise in speech signals by multilinear subspace analysis
A new noise reduction method for speech signals is proposed in this paper. The method is based upon the N-mode singular value decomposition algorithm, which exploits the multiline...
Yusuke Sato, Tetsuya Hoya, Hovagim Bakardjian, And...
ICASSP
2011
IEEE
12 years 11 months ago
Sparse non-negative decomposition of speech power spectra for formant tracking
Many works on speech processing have dealt with auto-regressive (AR) models for spectral envelope and formant frequency estimation, mostly focusing on the estimation of the AR par...
Jean-Louis Durrieu, Jean-Philippe Thiran
ICASSP
2009
IEEE
14 years 2 months ago
Two microphone based direction of arrival estimation for multiple speech sources using spectral properties of speech
A two microphone direction of arrival (DOA) estimation technique for multiple speech sources is developed which exploits speech specific properties, namely sparsity in time-frequ...
Wenyi Zhang, Bhaskar D. Rao