TY - GEN
T1 - Feature-selective ICA and its convergence properties
AU - Li, Yi Ou
AU - Adali, Tülay
AU - Calhoun, Vince D.
N1 - Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33646819028&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33646819028&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2005.1416291
DO - 10.1109/ICASSP.2005.1416291
M3 - Conference contribution
AN - SCOPUS:33646819028
SN - 0780388747
SN - 9780780388741
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - V265-V268
BT - 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Y2 - 18 March 2005 through 23 March 2005
ER -