Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
387587 | Expert Systems with Applications | 2009 | 8 Pages |
Abstract
In this paper, a source adaptive algorithm for linear instantaneous independent component analysis is proposed. This new algorithm is based on solving the estimating equation through Newton’s method where no learning rate is needed which makes the proposed algorithm very easy to use. To achieve the source adaptivity, the density functions as well as their first and second derivatives are estimated by modified kernel density method. Empirical comparisons with several popular ICA algorithms confirm the efficiency and accuracy of the proposed algorithm.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yunfeng Xue, Feng Ju, Yujia Wang, Jie Yang,