On the Performance Indices of ICA and Blind Source Separation - UTU Research Portal

A4 Refereed article in a conference publication

On the Performance Indices of ICA and Blind Source Separation

Authors: Nordhausen K, Ollila E, Oja H

Editors: IEEE

Conference name: IEEE International Workshop on Signal Processing Advances in Wireless Communications

Publishing place: New York, NY

Publication year: 2011

Journal: IEEE International Workshop on Signal Processing Advances in Wireless Communications

Book title : 2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications

Journal name in source: SPAWC 2011: 2011 IEEE 12TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS

First page : 486

Last page: 490

Number of pages: 5

ISBN: 978-1-4244-9332-6

DOI: https://doi.org/10.1109/SPAWC.2011.5990458

Abstract

For assessing the separation performance (quality and accuracy) of ICA estimators, several performance indices have been introduced in the literature. The purpose of this note is to outline, review and study the properties of performance indices as well as propose some new ones. Special emphasis is put on the properties that such performance indices ought to satisfy. We categorize the indices in two separate groups that differ in the approaches they deploy in measuring the closeness of the achieved source separation to the ideal case and point out some inherent relations between the indices in these categories.