Extraction of electric network frequency signals from recordings made in a controlled magnetic field

Richard W. Sanders, Peter Popolo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

An Electric Network Frequency (ENF) signal is the 60 Hz component of an AC power signal that varies over time due to fluctuations in power production and consumption, across the entire grid of a power distribution network. When present in audio recordings, these signals (or their harmonics) can be used to authenticate a recording, time stamp the original, or determine if a recording was copied or edited. This paper will present the results of an experiment to determine if ENF signals in a controlled magnetic field can be detected and extracted from audio recordings made with battery and externally powered audio recording devices.

Original languageEnglish
Title of host publicationAudio Engineering Society - 125th Audio Engineering Society Convention 2008
Pages1143-1150
Number of pages8
StatePublished - 1 Dec 2008
Event125th Audio Engineering Society Convention 2008 - San Francisco, CA, United States
Duration: 2 Oct 20085 Oct 2008

Publication series

NameAudio Engineering Society - 125th Audio Engineering Society Convention 2008
Volume2

Other

Other125th Audio Engineering Society Convention 2008
CountryUnited States
CitySan Francisco, CA
Period2/10/085/10/08

Fingerprint

electric networks
Audio recordings
Circuit theory
recording
Magnetic Field
Magnetic fields
magnetic fields
Electric power distribution
Timestamp
Power Distribution
Distribution Network
Battery
Harmonic
Entire
Vary
electric batteries
Fluctuations
Grid
alternating current
grids

Cite this

Sanders, R. W., & Popolo, P. (2008). Extraction of electric network frequency signals from recordings made in a controlled magnetic field. In Audio Engineering Society - 125th Audio Engineering Society Convention 2008 (pp. 1143-1150). (Audio Engineering Society - 125th Audio Engineering Society Convention 2008; Vol. 2).
Sanders, Richard W. ; Popolo, Peter. / Extraction of electric network frequency signals from recordings made in a controlled magnetic field. Audio Engineering Society - 125th Audio Engineering Society Convention 2008. 2008. pp. 1143-1150 (Audio Engineering Society - 125th Audio Engineering Society Convention 2008).
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abstract = "An Electric Network Frequency (ENF) signal is the 60 Hz component of an AC power signal that varies over time due to fluctuations in power production and consumption, across the entire grid of a power distribution network. When present in audio recordings, these signals (or their harmonics) can be used to authenticate a recording, time stamp the original, or determine if a recording was copied or edited. This paper will present the results of an experiment to determine if ENF signals in a controlled magnetic field can be detected and extracted from audio recordings made with battery and externally powered audio recording devices.",
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Sanders, RW & Popolo, P 2008, Extraction of electric network frequency signals from recordings made in a controlled magnetic field. in Audio Engineering Society - 125th Audio Engineering Society Convention 2008. Audio Engineering Society - 125th Audio Engineering Society Convention 2008, vol. 2, pp. 1143-1150, 125th Audio Engineering Society Convention 2008, San Francisco, CA, United States, 2/10/08.

Extraction of electric network frequency signals from recordings made in a controlled magnetic field. / Sanders, Richard W.; Popolo, Peter.

Audio Engineering Society - 125th Audio Engineering Society Convention 2008. 2008. p. 1143-1150 (Audio Engineering Society - 125th Audio Engineering Society Convention 2008; Vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Sanders RW, Popolo P. Extraction of electric network frequency signals from recordings made in a controlled magnetic field. In Audio Engineering Society - 125th Audio Engineering Society Convention 2008. 2008. p. 1143-1150. (Audio Engineering Society - 125th Audio Engineering Society Convention 2008).