A study of time series interpolation and decimation with signal processing applications

Graduate Thesis Or Dissertation

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Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/tt44pq36m

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Attribute Name	Values
Creator	Kraemer, Thomas Fredrick
Abstract	Decimation and interpolation is shown to be an effective technique for reducing the storage requirements for bandlimited time series. Interpolation and decimation is theoretically developed using z-transform theory and graphically interperted. A sequence of data acquired by sampling a sonar signal is used to demonstrate the effects of decimation. Using a finite impulse response linear phase filter-decimator system it is shown that storage requirements for the sonar signal can be reduced by a factor of at least eight.
Resource Type	Masters Thesis
Date Available	2013-10-25T18:52:54+00:00
Date Issued	1978-05-02
Degree Level	Master's
Degree Name	Master of Science (M.S.)
Degree Field	Electrical and Computer Engineering
Degree Grantor	Oregon State University
Commencement Year	1978
Advisor	Saugen, John L.
Academic Affiliation	Electrical and Computer Engineering
Non-Academic Affiliation	Oregon State University. Graduate School
Subject	Interpolation
权利声明	Copyright Not Evaluated
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
Digitization Specifications	File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6670 in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces	http://hdl.handle.net/1957/43435

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