Improving transient signal synthesis through noise modeling and noise removal
Frack, Kenneth L., Jr.
Therrien, Charles W.
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This thesis examines signal modeling techniques and their application to ambient ocean noise for purposes of noise removal and for generating realistic synthetic noise to add to synthetically generated transient signals. Higher order statistics of the noise are examined to test for Gaussianity. Stochastic approaches to AR, MA, and ARMA modeling are compared to see which technique yields the "best" synthetic noise. Results from the modeling process are used to develop a short-time Wiener filter which can be used to condition a real signal for further processing through effective noise removal.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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