A4 Article in conference proceedings
An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued FMRI data (2016)

Kuang, L.-D., Lin, Q.-H., Gong, X.-F., & Cong, F. (2016). An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued FMRI data. In ICASSP 2016 : Proceedings of the ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 714-718). IEEE, Institute of Electrical and Electronics Engineers. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/ICASSP.2016.7471768

JYU authors or editors

Publication details

All authors or editors: Kuang, Li-Dan; Lin, Qiu-Hua; Gong, Xiao-Feng; Cong, Fengyu

Parent publication: ICASSP 2016 : Proceedings of the ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

Journal or series: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing

ISSN: 1520-6149

eISSN: 2379-190X

Publication year: 2016

Pages range: 714-718

Publisher: IEEE, Institute of Electrical and Electronics Engineers

Place of Publication: Piscataway

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/ICASSP.2016.7471768

Publication open access: Not open

Publication channel open access: 

Free keywords: complex-valued fMRI data; independent vector analysis (IVA); non-circularity; nonlinearity; subspace

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2016

JUFO rating: 1