Feature-selective ICA and its convergence properties

Yi Ou Li; Tülay Adali; Vince D. Calhoun

doi:10.1109/ICASSP.2005.1416291

Feature-selective ICA and its convergence properties

Yi Ou Li, Tülay Adali, Vince D. Calhoun

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present a projection-based framework for a feature-selective independent component analysis (FS-ICA) scheme and study its convergence property for two ICA algorithms, FastICA and Infomax. As examples, we implement bandpass filter as the feature-selective filter to improve the estimation of a bandpass signal from the mixtures and a periodic task-related time course embedded in the functional Magnetic Resonance Imaging (fMRI) data. Hence, we demonstrate that the proposed method can incorporate a priori information into ICA to effectively improve estimation of the underlying components of practical interest, such as periodic time courses and smooth brain activation areas in fMRI data.

Original language	English (US)
Title of host publication	2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	V265-V268
ISBN (Print)	0780388747, 9780780388741
DOIs	https://doi.org/10.1109/ICASSP.2005.1416291
State	Published - 2005
Event	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States Duration: Mar 18 2005 → Mar 23 2005

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	V
ISSN (Print)	1520-6149

Other

Other	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Country/Territory	United States
City	Philadelphia, PA
Period	3/18/05 → 3/23/05

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2005.1416291

Cite this

Li, Y. O., Adali, T., & Calhoun, V. D. (2005). Feature-selective ICA and its convergence properties. In 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions (pp. V265-V268). [1416291] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. V). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2005.1416291

Feature-selective ICA and its convergence properties. / Li, Yi Ou; Adali, Tülay; Calhoun, Vince D.

2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions. Institute of Electrical and Electronics Engineers Inc., 2005. p. V265-V268 1416291 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. V).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, YO, Adali, T & Calhoun, VD 2005, Feature-selective ICA and its convergence properties. in 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions., 1416291, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. V, Institute of Electrical and Electronics Engineers Inc., pp. V265-V268, 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, PA, United States, 3/18/05. https://doi.org/10.1109/ICASSP.2005.1416291

Li YO, Adali T, Calhoun VD. Feature-selective ICA and its convergence properties. In 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions. Institute of Electrical and Electronics Engineers Inc. 2005. p. V265-V268. 1416291. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2005.1416291

Li, Yi Ou ; Adali, Tülay ; Calhoun, Vince D. / Feature-selective ICA and its convergence properties. 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions. Institute of Electrical and Electronics Engineers Inc., 2005. pp. V265-V268 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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abstract = "We present a projection-based framework for a feature-selective independent component analysis (FS-ICA) scheme and study its convergence property for two ICA algorithms, FastICA and Infomax. As examples, we implement bandpass filter as the feature-selective filter to improve the estimation of a bandpass signal from the mixtures and a periodic task-related time course embedded in the functional Magnetic Resonance Imaging (fMRI) data. Hence, we demonstrate that the proposed method can incorporate a priori information into ICA to effectively improve estimation of the underlying components of practical interest, such as periodic time courses and smooth brain activation areas in fMRI data.",

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Feature-selective ICA and its convergence properties

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