238 search results - page 28 / 48 » A Constraint Learning Algorithm for Blind Source Separation |
IJON
2006
13 years 7 months ago
2006
In many applications extraction of source signals of interest from observed signals maybe is a more feasible approach than simultaneous separation of all the source signals, since...
IJON
2002
13 years 7 months ago
2002
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
CSL
2010
Springer
13 years 7 months ago
2010
Springer
We present a system for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a priori. The sources are mo...
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 ...
ICANN
2009
Springer
14 years 10 days ago
2009
Springer
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...