Publication:
Improving transient signal synthesis through noise modeling and noise removal

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Authors
Frack, Kenneth L., Jr.
Subjects
AR modeling, MA modeling, ARMA modeling, Noise, Noise modeling, short-time Wiener Filter, Wiener Filter, Noise removal
Advisors
Therrien, Charles W.
Date of Issue
1994-03
Date
March 1994
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
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.
Type
Thesis
Description
Series/Report No
Department
Electrical Engineering
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
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Funder
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Citation
Distribution Statement
Rights
This 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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