Sponsor
Portland State University. Department of Electrical Engineering
First Advisor
Andrew M. Fraser
Date of Publication
7-8-1993
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Electrical Engineering
Department
Electrical Engineering
Subjects
Signal processing -- Mathematical models, Chaotic behavior in systems -- Mathematical models
DOI
10.15760/etd.6448
Physical Description
1 online resource (x, 76 p.)
Abstract
In this thesis we apply chaotic dynamic data analysis to the area of discrete time signal processing. A newly developed Hidden Filter Hidden Markov Model is introduced in detection of chaotic signals. Numerical experiments have verified that this novel nonlinear model outperforms linear AR model in detecting chaotic signals buried by noise having similar power spectra. A simple Histogram Model is proposed which can also be used to do detection on the data sets with chaotic behavior. Receiver Operating Characteristics for a variety of noise levels and model classes are reported.
Persistent Identifier
https://archives.pdx.edu/ds/psu/26538
Recommended Citation
Cai, Qin, "Detecting Chaotic Signals with Nonlinear Models" (1993). Dissertations and Theses. Paper 4564.
https://doi.org/10.15760/etd.6448
Comments
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