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» Spectral Decomposition of Signaling Networks
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CORR
2006
Springer
73views Education» more  CORR 2006»
15 years 3 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»
15 years 3 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
14 years 10 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
14 years 6 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
15 years 9 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