Blind deconvolution based on cyclostationarity maximization
Brief Description
Provides a blind deconvolution algorithm based on the maximization of the cyclostationarity of the source.
To be used for estimating a cyclostationary excitation from a noisy observation.
Content
MaxCycloBD.m: routine for a Single-Input-Single-Output system.
MaxCycloBD_SIMO.m: routine for a Single-Input-Multi-Output system.
MaxCycloBDangle.: routine for a Single-Input-Single-Output system in the time/angle domain.
demo_CYCBD.m.: demonstrates how to use CYCBD on different synthetic signal.
Demo_Fast_SC.m: shows six different applications of the previous
functions, extracting cyclostationary sources from noisy observed
signals and considering different interferences.
readme.pdf: general information on the code.
Reference
[1] M. Buzzoni, J. Antoni and G. D’Elia, “Blind deconvolution based on cyclostationarity maximization
and its application to fault identification”, Journal of Sound and Vibration, 2018, Accepted.
Cite As
Marco Buzzoni (2024). Blind deconvolution based on cyclostationarity maximization (https://www.mathworks.com/matlabcentral/fileexchange/67830-blind-deconvolution-based-on-cyclostationarity-maximization), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
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Acknowledgements
Inspired: simulation-Broadband acoustic modal identification with NSM
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Version | Published | Release Notes | |
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1.0.0.0 |