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dc.contributor.advisorChiu, Ching-Sang
dc.contributor.advisorMiller, Christopher W.
dc.contributor.authorMohamed, Jessica Rose
dc.date.accessioned2012-03-14T17:39:52Z
dc.date.available2012-03-14T17:39:52Z
dc.date.issued2008-09
dc.identifier.urihttp://hdl.handle.net/10945/3947
dc.description.abstractAn ensemble consisting of 150 Ziphius cavirostris vocalizations was compiled from acoustic data recorded at two High-frequency Acoustic Recording Package (HARP) locations: the Naval Postgraduate School (NPS)'s Point Sur HARP and Scripps Institution of Oceanography (SIO)'s site H HARP. The ensemble was analyzed via a principal component analysis (PCA). The results of the PCA verified the statistical robustness of the signal and yielded one dominant mode which accounted for 73% of the variance. The dominant mode was used to create a kernel for a matched filter detection scheme. The subsequent detector output was statistically evaluated against a ground truth. The ground truth identified 28,434 Ziphius clicks by visually inspecting over 170 minutes of data recorded by NPS's Data Acquisition System (DAS) at the Southern California Offshore Range (SCORE). The inability to visually discriminate a signal embedded in noise created a conservatively biased ground truth estimate which increased the detector's false alarm rate. At an acceptable 0.1% false alarm rate, the detector had an overall 44% probability of detection. A further assessment of the detector's performance divided the data into two categories: cluttered and uncluttered. At a false alarm rate of 0.1%, the probability of detection was 26% and 61%, respectively.en_US
dc.description.urihttp://archive.org/details/thedevelopmentof109453947
dc.format.extentxiv, 39 p. : ill.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.subject.lcshWhalesen_US
dc.subject.lcshVocalizationen_US
dc.subject.lcshPrincipal components analysisen_US
dc.subject.lcshOperating systems (Computers)en_US
dc.subject.lcshDevelopmenten_US
dc.subject.lcshUnderwater acousticsen_US
dc.subject.lcshTechniqueen_US
dc.subject.lcshPacific Oceanen_US
dc.subject.lcshMeasurementen_US
dc.subject.lcshSignal processingen_US
dc.subject.lcshStatistical methodsen_US
dc.titleThe development of a kernel to detect Ziphius cavirostris vocalizations and a performance assessment of an automated passive acoustic detection schemeen_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentMeteorology and Physical Oceanography
dc.description.serviceUS Navy (USN) author.en_US
dc.identifier.oclc268958805
etd.thesisdegree.nameM.S.en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineMeteorology and Physical Oceanographyen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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