A systematic optimization of the Cohen class time-frequency
transformation for detecting the parameters change is developed.
The local moments approach to change detection is proposed and a
general formula for the local moments is derived. The optimal
kernel functions of the time-frequency transformation are determined
based on the combined criteria of maximum sensitivity with respect to
parameters change and minimum distortion of physical interpretation
of the local moments. The sensitivity of the local moment with
respect to a certain kind of inputs is analyzed and a most "convenient"
and a "worst" input are identified. The results are presented in the
form of the case studies for detecting parameters change in simple
linear systems. / Graduation date: 1992
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/36264 |
| Date | 16 September 1991 |
| Creators | Park, Dae-hyun |
| Contributors | Kolodziej, W. J. |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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