Considerations for robust ICA: a discussion of the PICARD framework

Advances in Data Analysis and Classification 2026 Open access

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Authors: Francesca Greselin, Giorgia Zaccaria
DOI: 10.1007/s11634-026-00702-8
Cited by: 1
References: 9

Abstract

Abstract This study explores the PICARD framework for Independent Component Analysis (ICA), focusing on robust implementation methods. We utilize the "Cocktail party" and handwritten digits datasets to discuss features of the framework's application and performance.

Fields of Study & Subjects

Blind Source Separation Techniques Machine Learning and Algorithms Wireless Signal Modulation Classification

Publication details

Journal / source
Advances in Data Analysis and Classification
Publisher
Springer Science and Business Media LLC
Volume
20
Issue
3
Pages
775–781
Publication date
29 June 2026
Language
EN