deposit_your_work

Two-stage ARMA spectral and bispectral modeling with application to space shuttle flight data

Files in this item

Files Size Format View
1355196.PDF 2.695Mb application/pdf Thumbnail

Show full item record

Item Metadata

Title: Two-stage ARMA spectral and bispectral modeling with application to space shuttle flight data
Author: Eberle, Robert Raymond
Advisor: Spanos, Pol D.
Degree: Master of Science thesis
Abstract: Parametric models for the representation of the power spectrum and bispectrum of a bank of data by the use of a two-stage, auto/cross-correlation matching (ACM) technique are developed. First, the applicability of the ACM technique for ordinary spectral modeling is discussed. Then, the parametric bispectral modeling technique is formulated using third-order cumulant information. This autoregressive moving average (ARMA) technique allows for the simultaneous determination of both the AR and MA filter coefficients. This procedure can expedite the analysis of phase coupling, system nonlinearities, and other features which cannot be captured by ordinary spectral analysis. Techniques are demonstrated numerically through the analysis of Space Shuttle flight data.
Citation: Eberle, Robert Raymond. (1993) "Two-stage ARMA spectral and bispectral modeling with application to space shuttle flight data." Masters Thesis, Rice University. http://hdl.handle.net/1911/13717.
URI: http://hdl.handle.net/1911/13717
Date: 1993

This item appears in the following Collection(s)