DocumentCode :
951981
Title :
Hilbert and Fourier transforms of polynomial ratio time signals
Author :
Kirlin, R. Lynn
Volume :
66
Issue :
3
fYear :
1978
fDate :
3/1/1978 12:00:00 AM
Firstpage :
356
Lastpage :
358
Abstract :
Polynomial curve fittings have long been used to smooth data and provide functions from which, at specified times, samples may be obtained. Relationships of these polynomials to frequency content can be determined by including a denominator polynomial which does not essentially affect the fit over the data interval. Both Fourier and Hilbert transforms are found for general polynomial ratios, and their subsequent properties, duals of polynomial ratio frequency functions, are discussed.
Keywords :
Filters; Fourier transforms; Frequency; Linear regression; Polynomials; Signal analysis; Signal processing; Signal sampling; Signal synthesis; Smoothing methods;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/PROC.1978.10911
Filename :
1455180
Link To Document :
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