AUTO DETECTION OF BLUE WHALE CALLS
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Authors
Wu, Min-hsiu
Subjects
genetic algorithm
nonnegative matrix factorization
harmonic product spectrum
nonnegative matrix factorization
harmonic product spectrum
Advisors
Zhou, Hong
Date of Issue
2023-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
The thesis establishes an auto detection system that obtains Nonnegative Matrix Factorization (NMF) and harmonic structure detection techniques and tests it on the variety of recording data which is collected by the vector sensor in Monterey Bay. This system is currently examined specifically on blue whale B calls. In the thesis, we find that a NMF can be implemented in different update rules and initialization methods and yield different output which depends on input data. In addition, we apply Genetic Algorithm (GA) to reduce the error which is produced by NMF. Last, Harmonic Product Spectrum (HPS) takes place to examine whether the harmonic structure of blue whale B calls exists in the output of NMF and GA.In order to reduce human resource on physically checking the existence of blue whale, the goal is to find the best combination of algorithms that identifies the calls with lowest rate of false alarm. In further research, the performance can be improved by applying parallel computation. And manipulating the data of vector sensor to locate the source of sound can increase the accuracy of this detection system. Moreover, obtaining the detection of various marine mammals is needed.
Type
Thesis
Description
Series/Report No
Department
Applied Mathematics (MA)
Organization
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NPS Report Number
Sponsors
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Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
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Copyright is reserved by the copyright owner.