Title

Adaptive ICA for separation of complex signals with known source distributions in time-varying channels

Authors

Authors

R. Ranganathan; T. T. Yang;W. B. Mikhael

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Electron. Lett.

Keywords

Engineering, Electrical & Electronic

Abstract

A novel implementation of the complex block adaptive independent component analysis algorithm is presented. The new realisation is employed for the separation of complex signals with known source distributions. In practice, such situations are commonly encountered. Computer simulations show that the new algorithm converges much faster than the already existing complex fast-ICA in time-varying channels. In addition, the fast convergence of the novel technique is maintained with variation in the processing block size and is computationally cost effective.

Journal Title

Electronics Letters

Volume

43

Issue/Number

15

Publication Date

1-1-2007

Document Type

Article

DOI Link

http://dx.doi.org/10.1049/el:20070497

Language

English

First Page

838

Last Page

840

WOS Identifier

WOS:000248936100034

ISSN

0013-5194

Recommended Citation

"Adaptive ICA for separation of complex signals with known source distributions in time-varying channels" (2007). Faculty Bibliography 2000s. 7555.
https://stars.library.ucf.edu/facultybib2000/7555