New Algorithms for the Estimation of Two-Dimensional Cyclic Spectral Information Based on Tensor Equations-Reference-Cited by-同舟云学术

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New Algorithms for the Estimation of Two-Dimensional Cyclic Spectral Information Based on Tensor Equations

Published:2021-04-01 Issue: Volume: Page:
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Mihandoost Sara,Chehel Amirani Mehdi

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11265-020-01635-x.pdf

Reference38 articles.

1. Gardner, W. A. (1986). Statistical spectral analysis: A nonprobabilistic theory. Englewood Cliffs: Prentice-Hall, Inc..

2. Gardner, W. A. (1991). Exploitation of spectral redundancy in cyclostationary signals. IEEE Signal Processing Magazine, 8(2), 14–36.

3. Roberts, R. S., Brown, W. A., & Loomis, H. H. (1991). Computationally efficient algorithms for cyclic spectral analysis. IEEE Signal Processing Magazine, 8(2), 38–49.

4. Gardner, W. A. (1988). Signal interception: A unifying theoretical framework for feature detection. IEEE Transactions on Communications, 36(8), 897–906.

5. Mihandoost, S., & Amirani, M. C. (2015). EEG signal analysis using spectral correlation function & GARCH model. Signal, Image and Video Processing, 9(6), 1461–1472.

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