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Author:

Benit, Simeon

Title:

Stochastic Models to Generate Sound Speed Ensembles and Calculate Transmission Loss Ensembles at the New England Shelf Break Using Empirical Orthogonal Functions and Sparse Dictionary Learning

Graduate Program:

Acoustics (MS)

Keywords:

Stochastic Model
Empirical Orthogonal Functions
Machine Learning
Acoustics
Underwater Acoustics
Principal Component Analysis
PCA
EOF
Dictionary Learning
Sparse Dictionary Learning
K-SVD
Orthogonal Matching Pursuit
Sound Speed Profiles
Range-dependent Acoustic Model
Transmission Loss
New England Shelf Break

File:

Download BenitThesis_final.pdf

Committee Members:

Andrew Barnard, Program Head/Chair
Ying-Tsong Lin, Committee Member
Daniel C. Brown, Committee Member
James Miller, Special Signatory
Andrew Barnard, Thesis Advisor/Co-Advisor
Daniel C. Brown, Thesis Advisor/Co-Advisor