Work

Considerations for robust ICA: a discussion of the PICARD framework

Year: 2026

Type: article

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.

Source: Advances in Data Analysis and Classification

DOI: 10.1007/s11634-026-00702-8

Authors: Francesca Greselin, Giorgia Zaccaria

Institution: University of Milano-Bicocca

Language: English

Topic: Blind Source Separation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,190

Funders: Università degli Studi di Milano, Università degli Studi di Milano-Bicocca