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Quantifying the effects of lossy dig...

Archer, Harrison Allen.

Quantifying the effects of lossy digital audio compression algorithms on electric network frequency signals in forensic analysis.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Quantifying the effects of lossy digital audio compression algorithms on electric network frequency signals in forensic analysis./
Author:	Archer, Harrison Allen.
Description:	94 p.
Notes:	Source: Masters Abstracts International, Volume: 50-03, page: 1363.
Contained By:	Masters Abstracts International50-03.
Subject:	Statistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1507337
ISBN:	9781267108081

Quantifying the effects of lossy digital audio compression algorithms on electric network frequency signals in forensic analysis.
Archer, Harrison Allen.

Quantifying the effects of lossy digital audio compression algorithms on electric network frequency signals in forensic analysis. - 94 p.

Source: Masters Abstracts International, Volume: 50-03, page: 1363.

Thesis (M.S.)--University of Colorado at Denver, 2011.

In forensic analysis, the electric network frequency can often be used to determine the time and date that an audio recording was created. Many forensic scientists working with media question the quality and validity of audio evidence that was created by or has been converted to lossy compressed audio formats. The following work outlines a study designed to quantify the effects of lossy compression algorithms on electric network frequency signals. It shows that no forensic analysis based on the electric network frequency should be disregarded in legal proceedings solely for the reason that the audio file had been converted to any of the ten algorithms tested in this study.

ISBN: 9781267108081Subjects--Topical Terms:

556824
Statistics.

Quantifying the effects of lossy digital audio compression algorithms on electric network frequency signals in forensic analysis.
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020 $a 9781267108081
035 $a (UMI)AAI1507337
035 $a AAI1507337
040 $a UMI $c UMI
100 1 $a Archer, Harrison Allen. $3 845690
245 1 0 $a Quantifying the effects of lossy digital audio compression algorithms on electric network frequency signals in forensic analysis.
300 $a 94 p.
500 $a Source: Masters Abstracts International, Volume: 50-03, page: 1363.
500 $a Adviser: Catalin Grigoras.
502 $a Thesis (M.S.)--University of Colorado at Denver, 2011.
520 $a In forensic analysis, the electric network frequency can often be used to determine the time and date that an audio recording was created. Many forensic scientists working with media question the quality and validity of audio evidence that was created by or has been converted to lossy compressed audio formats. The following work outlines a study designed to quantify the effects of lossy compression algorithms on electric network frequency signals. It shows that no forensic analysis based on the electric network frequency should be disregarded in legal proceedings solely for the reason that the audio file had been converted to any of the ten algorithms tested in this study.
590 $a School code: 0765.
650 4 $a Statistics. $3 556824
650 4 $a Multimedia Communications. $3 845559
650 4 $a Physics, Acoustics. $3 845396
690 $a 0463
690 $a 0558
690 $a 0986
710 2 $a University of Colorado at Denver. $3 845691
773 0 $t Masters Abstracts International $g 50-03.
790 1 0 $a Grigoras, Catalin, $e advisor
790 $a 0765
791 $a M.S.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1507337

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