Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 51st Annual Conference of the Institute of Systems, Control and Information Engineers
Session ID : 6W1-5
Conference information

Host: The Institute of Systems, Control and Information Engineers

A New Adaptive Filter Algorithm for System Identification Using Independent Component Analysis
*Jun-Mei Yang, Hideaki Sakai
Author information
Keywords: Independent component analysis, Adaptive gradient descent algorithm, Parzen window density estimate, Convergence analysis
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Download citation RIS

(compatible with EndNote, Reference Manager, ProCite, RefWorks)

BIB TEX

(compatible with BibDesk, LaTeX)

Text
How to download citation
Contact us
Abstract
This paper proposes a new adaptive filter algorithm for system identification using independent component analysis (ICA). A nonparametric Parzen window density estimator and the stochastic information gradient are used. The local convergence condition is shown. Some simulation results have been carried out to show its superiority to the conventional NLMS algorithm.
Content from these authors
© 2007 The Institute of Systems, Control and Information Engineers
Previous article Next article
Favorites & Alerts

Recently viewed articles
Share this page
feedback
 Top