30 search results - page 2 / 6 » Blind source separation based on self-organizing neural netw... |
ISNN
2007
Springer
13 years 11 months ago
2007
Springer
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
ISMIR
2003
Springer
13 years 10 months ago
2003
Springer
We introduce a neural network, known as SONNETMAP, capable of automatic segmentation, learning and retrieval of melodies. SONNET-MAP is a synthesis of the SONNET (Self-Organizing ...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...
ISNN
2005
Springer
13 years 10 months ago
2005
Springer
This paper presents a learning framework for blind source separation (BSS), in which the BSS is formulated as generalized Eigenvalue (GE) problem. Compared to the typical informati...
IWANN
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. In this paper we address the problem of blind source extraction of a subset of “interesting” independent sources from a linear convolutive or instantaneous mixture. T...