Sciweavers

126 search results - page 9 / 26
» Semi-Blind Approaches for Source Separation and Independent ...
Sort
View
ISCAS
2005
IEEE
131views Hardware» more  ISCAS 2005»
14 years 1 months ago
Blind signal separation into groups of dependent signals using joint block diagonalization
— Multidimensional or group independent component analysis describes the task of transforming a multivariate observed sensor signal such that groups of the transformed signal com...
Fabian J. Theis
IJON
2006
180views more  IJON 2006»
13 years 7 months ago
Nonnegative independent component analysis based on minimizing mutual information technique
A novel neural network technique for nonnegative independent component analysis is proposed in this letter. Compared with other algorithms, this method can work efficiently even w...
Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Mich...
ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
14 years 1 months ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata
ICML
2007
IEEE
14 years 8 months ago
Nonlinear independent component analysis with minimal nonlinear distortion
Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...
Kun Zhang, Laiwan Chan
ISMIR
2005
Springer
215views Music» more  ISMIR 2005»
14 years 1 months ago
Separation of Vocals from Polyphonic Audio Recordings
Source separation techniques like independent component analysis and the more recent non-negative matrix factorization are gaining widespread use for the monaural separation of in...
Shankar Vembu, Stephan Baumann