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» A Constraint Learning Algorithm for Blind Source Separation
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119
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ICA
2004
Springer
15 years 5 months ago
Soft-LOST: EM on a Mixture of Oriented Lines
Robust clustering of data into overlapping linear subspaces is a common problem. Here we consider one-dimensional subspaces that cross the origin. This problem arises in blind sour...
Paul D. O'Grady, Barak A. Pearlmutter
79
Voted
ICASSP
2010
IEEE
15 years 20 days ago
Harmonic variable-size dictionary learning for music source separation
Dictionary learning through matrix factorization has become widely popular for performing music transcription and source separation. These methods learn a concise set of dictionar...
Steven K. Tjoa, Matthew C. Stamm, W. Sabrina Lin, ...
ICA
2007
Springer
15 years 6 months ago
Compressed Sensing and Source Separation
Abstract. Separation of underdetermined mixtures is an important problem in signal processing that has attracted a great deal of attention over the years. Prior knowledge is requir...
Thomas Blumensath, Mike E. Davies
ISNN
2010
Springer
15 years 5 months ago
Applications of Second Order Blind Identification to High-Density EEG-Based Brain Imaging: A Review
In the context of relating specific brain functions to specific brain structures, second-order blind identification (SOBI) is one of the blind source separation algorithms that hav...
Akaysha Tang
104
Voted
ICASSP
2010
IEEE
15 years 20 days ago
Sound source separation in monaural music signals using excitation-filter model and em algorithm
This paper proposes a method for separating the signals of individual musical instruments from monaural musical audio. The mixture signal is modeled as a sum of the spectra of ind...
Anssi Klapuri, Tuomas Virtanen, Toni Heittola