Georgios Karantaidis and Constantine Kotropoulos
PCI 2018
© 2018 Association for Computing Machinery
Code used in [1] for ENF extraction is provided including:
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Signal filtering with a very sharp bandpass filter (main.m).
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ENF extraction procedure using overplapping windows and a Quadratic Interpolation (main.m). Very good results achieved due to proper parameter tuning both in the pre-processing step and in the main procedure.
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Various estimation techniques are employed: STFT, Capon, Fast Capon, Fast Iterative Adaptive Approach (treat F-IAA as individual main file), Daniell, Blackman-Tukey, Welch, ESPRIT and MUSIC.
If you use this software you should cite the following in any resulting publication:
[1] Georgios Karantaidis and Constantine Kotropoulos. 2018. "ASSESSING SPECTRAL ESTIMATION METHODS FOR ELECTRIC NETWORK FREQUENCY EXTRACTION",In 22nd Pan-Hellenic Conference on Informatics (PCI ’18), November 29-December 1, 2018, Athens, Greece. ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3291533.3291538
The dataset was created by Spectral Analysis Lab, Dept. of ECE, University of Florida and ALL COPYRIGHTS remain with them : http://www.sal.ufl.edu/download.html
@inproceedings{Karantaidis:2018,
author = {Karantaidis, Georgios and Kotropoulos, Constantine},
title = {ASSESSING SPECTRAL ESTIMATION METHODS FOR
ELECTRIC NETWORK FREQUENCY EXTRACTION},
booktitle = {Proceedings of the 22nd Pan-Hellenic Conference on Informatics (PCI 2018)},
year = {2018},
location = {Athens, Greece},
pages = {202--207},
numpages = {6},
doi = {10.1145/3291533.3291538},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {Electric Network Frequency, Spectral Estimation Methods, Matching Procedures, Multimedia Authentication}
}