Adi Hajj-Ahmad, Chau-Wai Wong, and Min Wu

At the intersection of signal processing and information forensics, the Signal Processing Cup 2016 global competition has explored a time-varying location-dependent signature of power grids that can be intrinsically captured in media recordings. This signature is called the Electric Network Frequency (ENF) signals. Throughout the SP Cup 2016 competition, participants were provided with multiple training, practice, and testing datasets that consisted of recordings made in different grids and containing ENF traces.

Dataset Files

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[1] Crowdsourced Datasets, "ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2159S. Accessed: Feb. 25, 2024.
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doi = {10.21227/H2159S},
url = {http://dx.doi.org/10.21227/H2159S},
author = {Crowdsourced Datasets },
publisher = {IEEE Dataport},
title = {ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)},
year = {2016} }
TY - DATA
T1 - ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)
AU - Crowdsourced Datasets
PY - 2016
PB - IEEE Dataport
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Crowdsourced Datasets. (2016). ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition). IEEE Dataport. http://dx.doi.org/10.21227/H2159S
Crowdsourced Datasets, 2016. ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition). Available at: http://dx.doi.org/10.21227/H2159S.
Crowdsourced Datasets. (2016). "ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)." Web.
1. Crowdsourced Datasets. ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition) [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2159S
Crowdsourced Datasets. "ENF Power Frequency Data for Location Forensics (IEEE SP Cup 2016 competition)." doi: 10.21227/H2159S