APPROXIMATING SEQUNCES BY LEAST SQUARES POLYNOMAILS AND TIME -DEPENDENT TRIGOMETRIC POLYNOMAILS.

Okafor, Uchenwa  Linus

doi:10.46254/AN05.20150631

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5th Annual International Conference on Industrial Engineering and Operations Management

APPROXIMATING SEQUNCES BY LEAST SQUARES POLYNOMAILS AND TIME -DEPENDENT TRIGOMETRIC POLYNOMAILS.

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Uchenwa Linus Okafor

Publisher: IEOM Society International

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Track: Operations Research

It has been a common method to model non stationary squences by using constant amplitudes whenever spectral analysis is performed.In this paper we demonstrate how to create models with decreasing or increasing amplitudes from the classical Fourier coefficients.

key words: Classical Fourier coefficients,constant amplitude,non stationary sequnces,models.

Published in: 5th Annual International Conference on Industrial Engineering and Operations Management, Dubai, United Arab Emirates

Publisher: IEOM Society International
Date of Conference: March 3 -5 , 2015

ISBN: 978-0-9855497-2-5
ISSN/E-ISSN: 2169-8767

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