71 search results - page 6 / 15 » A sparse component model of source signals and its applicati... |
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
In this paper, we propose two approaches for combining geometric information with ICA algorithm to solve permutation problem under the scenario where a rough information about the...
ISCAS
2005
IEEE
14 years 2 months ago
2005
IEEE
— Multidimensional or group independent component analysis describes the task of transforming a multivariate observed sensor signal such that groups of the transformed signal com...
TNN
2008
13 years 8 months ago
2008
Separation of speech mixtures, often referred to as the cocktail party problem, has been studied for decades. In many source separation tasks, the separation method is limited by t...
IJON
2006
13 years 8 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...
ICA
2004
Springer
2004
Springer
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
14 years 2 months ago
The variational Bayesian nonlinear blind source separation method introduced by Lappalainen and Honkela in 2000 is initialised with linear principal component analysis (PCA). Becau...