Nonparametric Detection and Estimation of Highly Oscillatory Signals
<p>This thesis considers the problem of detecting and estimating highly oscillatory signals from noisy measurements. These signals are often referred to as chirps in the literature; they are found everywhere in nature, and frequently arise in scientific and engineering problems. Mathematicall...
Internet
https://thesis.library.caltech.edu/1726/6/Thesis.pdfhttps://thesis.library.caltech.edu/1726/5/README-CODE_FOR_THESIS.txt
https://thesis.library.caltech.edu/1726/1/ChirpLab.tar.gz
https://thesis.library.caltech.edu/1726/2/ChirpLab.zip
https://thesis.library.caltech.edu/1726/3/ChirpLabDataStream.tar.gz
https://thesis.library.caltech.edu/1726/4/ChirpLabDataStream.zip
Helgason, Hannes (2008) Nonparametric Detection and Estimation of Highly Oscillatory Signals. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/SAEK-MV13. https://resolver.caltech.edu/CaltechETD:etd-05112008-152328 <https://resolver.caltech.edu/CaltechETD:etd-05112008-152328>