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Range Dependent Signals and Maximum Entropy Methods for Underwater Acoustic Tomography


Kendall, Elizabeth Ann (1985) Range Dependent Signals and Maximum Entropy Methods for Underwater Acoustic Tomography. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/hrqs-cv92.


A new method for simulating underwater acoustic signals in range dependent environments is presented, and the approach utilizes Maslov asymptotic theory as developed by C. H. Chapman for synthetic seismograms. The simulated range dependent signals are then used in active underwater acoustic tomography exercises, where changes in observed acoustic transmissions are inverted to obtain information about ocean sound velocity structure. The inversions are performed with both the generalized inverse and the maximum entropy inverse, and a new numerical method for finding the maximum entropy inverse with noisy data is presented. The numerical technique follows the ε statistic approach proposed by Bryan and Skilling.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:Mechanical Engineering
Degree Grantor:California Institute of Technology
Division:Engineering and Applied Science
Major Option:Mechanical Engineering
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Caughey, Thomas Kirk
Thesis Committee:
  • Caughey, Thomas Kirk (chair)
  • Knowles, James K.
  • Wu, Theodore Yao-tsu
  • Cohen, Donald S.
  • Hall, John F.
Defense Date:24 January 1985
Funding AgencyGrant Number
Interstate Electronics Corporation of AnaheimUNSPECIFIED
Record Number:CaltechETD:etd-04092008-080843
Persistent URL:
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:1319
Deposited By: Imported from ETD-db
Deposited On:09 Apr 2008
Last Modified:16 Apr 2021 22:33

Thesis Files

PDF (Kendall_ea_1985.pdf) - Final Version
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