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Segmented chirp features and hidden Gauss-Markov models for transient signal classification /

Time-frequency analysis and stochastic modeling techniques are combined in order to characterize and classify transient wandering-tone signals. A feature set is defined for segments of time-domain data. The features measure the chirp rate, center frequency, and amplitude of each segment. These featu...

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Bibliographic Details
Main Author: Ainsleigh, Phillip Leroy
Format: Thesis Book
Language:English
Published: [Place of publication not identified] : [publisher not identified] ; 2001.
Subjects:
Major electrical engineering.
Online Access:http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=728908671&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD

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