Date of Award
Fall 12-2017
Degree Type
Thesis
Degree Name
M.S.
Degree Program
Applied Physics
Department
Physics
Major Professor
Dr. Juliette Ioup
Second Advisor
Dr. Leszek Malkinski
Third Advisor
Dr. Ashok Puri
Abstract
This project started early in the summer of 2016 when it became evident there was a need for an effective and efficient signal analysis toolkit for the Littoral Acoustic Demonstration Center Gulf Ecological Monitoring and Modeling (LADC-GEMM) Research Consortium. LADC-GEMM collected underwater acoustic data in the northern Gulf of Mexico during the summer of 2015 using Environmental Acoustic Recording Systems (EARS) buoys. Much of the visualization of data was handled through short scripts and executed through terminal commands, each time requiring the data to be loaded into memory and parameters to be fed through arguments. The vision was to develop a graphical user interface (GUI) that would increase the productivity of manual signal analysis. It has been expanded to make several calculations autonomously for cataloging and meta data storage of whale clicks. Over the last year and a half, a working prototype has been developed with MathWorks matrix laboratory (MATLAB), an integrated development environment (IDE). The prototype is now very modular and can accept new tools relatively quickly when development is completed. The program has been named Banshee, as the mythical creatures are known to “wail”. This paper outlines the functionality of the GUI, explains the benefits of frequency analysis, the physical models that facilitate these analytics, and the mathematics performed to achieve these models.
Recommended Citation
Bienvenu, Kirk Jr, "Underwater Acoustic Signal Analysis Toolkit" (2017). University of New Orleans Theses and Dissertations. 2398.
https://scholarworks.uno.edu/td/2398
Included in
Numerical Analysis and Scientific Computing Commons, Other Applied Mathematics Commons, Other Physics Commons, Signal Processing Commons, Software Engineering Commons
Rights
The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or in part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.