Linear time-variant space-variant filters and the WKB approximation
Ziomek, Lawrence J.
MetadataShow full item record
Wave propagation in a random, inhomogeneous ocean is treated as transmission thru a linear, time-variant, space-variant, random communication channel. A consistent notation (vis-a-vis ad hoc), fundamental input-output relations, and various time-space transformations for both deterministic and random linear, time-variant, space-variant, filters are established. Using the method of separation of variables and the W.K.B. approximation, a time-invariant, space-variant, random transfer function of the ocean volume is derived. The ocean volume is characterized by a random index of refraction which is a function of depth. The index of refraction is decomposed into a deterministic component and a zero mean random component. In addition, two example calculations are made
NPS Report NumberNPS-62-83-058
Showing items related by title, author, creator and subject.
A comparison of maximum likelihood models for fatigue strength characterization in materials exhibiting a fatigue limit Pollak, Randall D.; Palazotto, Anthony N. (2009);In this study, various probabilistic models were considered to support fatigue strength design guidance in the ultra high-cycle regime (beyond 108 cycles), with particular application to Ti-6Al-4V, a titanium alloy common ...
A hierarchical multivariate Bayesian approach to ensemble model output statistics in atmospheric prediction Wendt, Robert D. T. (Monterey, California: Naval Postgraduate School, 2017-09);Previous research in statistical post-processing has found systematic deficiencies in deterministic forecast guidance. As a result, ensemble forecasts of sensible weather variables often manifest biased central tendencies ...
Generating gamma and cauchy random variables : an extension to the Naval Postgraduate School random number package Robinson, D. W.; Lewis, Peter A. W. (Monterey, California. Naval Postgraduate School, 1975-04); NPS-72RO75041Two very efficient algorithms for generating pseudorandom numbers from the gamma distribution have been developed by Ahrens and Dieter; in the present work these are combined with a third method to produce a combination ...