A Computationally Efficient Blind Source Extraction Using Idempotent Transformation Matrix-Reference-Cited by-同舟云学术

A Computationally Efficient Blind Source Extraction Using Idempotent Transformation Matrix

Published:2018-10-12 Issue:5 Volume:38 Page:2245-2265
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Taha Luay Yassin,Abdel-Raheem Esam

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

http://link.springer.com/content/pdf/10.1007/s00034-018-0961-y.pdf

Reference42 articles.

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3. H. Becker, L. Albera, P. Comon, A. Kachenoura, I. Merlet, A penalized semialgebraic deflation ICA algorithm for the efficient extraction of interictal epileptic signals. IEEE J. Biomed. Health Inform. 21(1), 94–104 (2017)

4. T. Bose, F. Meyer, Digital Signal and Image Processing (Wiley, London, 2003)

5. M. Bouss, O. Debals, L. De Lathauwer, A tensor-based method for large-scale blind source separation using segmentation. IEEE Trans. Signal Process. 65(2), 346–358 (2017)

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