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dc.contributor.advisorSmith, T. Jefferson (Jeff), 1930-2019
dc.contributor.authorKraushaar, Philip F., Jr.
dc.date.accessioned2011-10-24T15:43:55Z
dc.date.available2011-10-24T15:43:55Z
dc.date.issued1974
dc.identifier.urihttp://hdl.handle.net/10920/23758
dc.descriptionv, 72 p.en_US
dc.description.abstractIn this paper, I present the rationale for and the theory behind the maximum entropy method of spectral estimation for stochastic processes. The paper is divided into three sections I Introduction, Theory, and Computer Application. In the introduction, a brief review of the two widely used alternate means of spectral estimation is presented. The inherent drawbacks associated with the autocorrelation method and the periodogram method are discussed. The rationale is then presented for the maximum entropy method. The theory behind the maximum ·entropy procedure is developed in the theory section along with the algorithms that will be used in the computer implementation. This section may be.omitted by those whose interests are confined to the application of this method. The section on the computer application of the maximum entropy procedure contains a brief description of each of the computer programs listed in Appendix B along with instructions for their use.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofKalamazoo College Physics Senior Individualized Projects Collection
dc.relation.ispartofseriesSenior Individualized Projects. Physics.;
dc.rightsU.S. copyright laws protect this material. Commercial use or distribution of this material is not permitted without prior written permission of the copyright holder. All rights reserved.
dc.titleMaximum Entropy Spectral Analysis: Theory and Applicationen_US
dc.typeThesisen_US


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  • Physics Senior Individualized Projects [317]
    This collection includes Senior Individualized Projects (SIP's) completed in the Physics Department. Abstracts are generally available to the public, but PDF files are available only to current Kalamazoo College students, faculty, and staff.

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