37 search results - page 5 / 8 » Blind Audiovisual Source Separation using Sparse Representat... |
ICA
2007
Springer
15 years 5 months ago
2007
Springer
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...
INTERSPEECH
2010
14 years 5 months ago
2010
Sparse Component Analysis is a relatively young technique that relies upon a representation of signal occupying only a small part of a larger space. Mixtures of sparse components ...
104
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ISNN
2007
Springer
15 years 5 months ago
2007
Springer
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
ISCAS
1999
IEEE
15 years 3 months ago
1999
IEEE
The problem of blindly separating signal mixtures with fewer mixture components than independent signal sources is mathematically ill-defined, and requires suitable prior informat...
103
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ICA
2004
Springer
15 years 4 months ago
2004
Springer
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...