37 search results - page 5 / 8 » Blind Audiovisual Source Separation using Sparse Representat... |
ICA
2007
Springer
14 years 1 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
13 years 2 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 ...
ISNN
2007
Springer
14 years 1 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
13 years 11 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...
ICA
2004
Springer
14 years 26 days 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...