A computationally efficient non‐iterative four‐parameter sine fitting method

Abstract A computationally efficient four‐parameter least squares (LS) sine fitting method in the time domain is presented here. Unlike the most widespread procedure defined in the relevant IEEE standard, the proposed fitting is non‐iterative. This is achieved by the second‐order approximation of th...

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Main Authors: Balázs Renczes, Vilmos Pálfi
Format: Article
Language:English
Published: Wiley 2021-10-01
Series:IET Signal Processing
Subjects:
Online Access:https://doi.org/10.1049/sil2.12061
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author Balázs Renczes
Vilmos Pálfi
author_facet Balázs Renczes
Vilmos Pálfi
author_sort Balázs Renczes
collection DOAJ
description Abstract A computationally efficient four‐parameter least squares (LS) sine fitting method in the time domain is presented here. Unlike the most widespread procedure defined in the relevant IEEE standard, the proposed fitting is non‐iterative. This is achieved by the second‐order approximation of the cost function (CF) around the actual frequency of the sinusoidal excitation. The approximation reduces the four‐parameter non‐linear fitting problem to a defined set of three‐parameter linear fitting problems. Therefore, the computational demand can be predicted precisely, which is an essential aspect of real‐life applications. Furthermore, the proposed method is shown to have increased numerical stability. Finally, measurements and computer simulations are carried out to demonstrate the reduced computational demand, while preserving the accuracy compared with the algorithm proposed in the IEEE standard.
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institution Kabale University
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language English
publishDate 2021-10-01
publisher Wiley
record_format Article
series IET Signal Processing
spelling doaj-art-75c2a4e255dc4330982571df3b8912c82025-02-03T01:31:55ZengWileyIET Signal Processing1751-96751751-96832021-10-0115856257110.1049/sil2.12061A computationally efficient non‐iterative four‐parameter sine fitting methodBalázs Renczes0Vilmos Pálfi1Department of Measurement and Information Systems Budapest University of Technology and Economics Budapest HungaryDepartment of Measurement and Information Systems Budapest University of Technology and Economics Budapest HungaryAbstract A computationally efficient four‐parameter least squares (LS) sine fitting method in the time domain is presented here. Unlike the most widespread procedure defined in the relevant IEEE standard, the proposed fitting is non‐iterative. This is achieved by the second‐order approximation of the cost function (CF) around the actual frequency of the sinusoidal excitation. The approximation reduces the four‐parameter non‐linear fitting problem to a defined set of three‐parameter linear fitting problems. Therefore, the computational demand can be predicted precisely, which is an essential aspect of real‐life applications. Furthermore, the proposed method is shown to have increased numerical stability. Finally, measurements and computer simulations are carried out to demonstrate the reduced computational demand, while preserving the accuracy compared with the algorithm proposed in the IEEE standard.https://doi.org/10.1049/sil2.12061curve fittingIEEE standardsiterative methodsleast squares approximationsnumerical stability
spellingShingle Balázs Renczes
Vilmos Pálfi
A computationally efficient non‐iterative four‐parameter sine fitting method
IET Signal Processing
curve fitting
IEEE standards
iterative methods
least squares approximations
numerical stability
title A computationally efficient non‐iterative four‐parameter sine fitting method
title_full A computationally efficient non‐iterative four‐parameter sine fitting method
title_fullStr A computationally efficient non‐iterative four‐parameter sine fitting method
title_full_unstemmed A computationally efficient non‐iterative four‐parameter sine fitting method
title_short A computationally efficient non‐iterative four‐parameter sine fitting method
title_sort computationally efficient non iterative four parameter sine fitting method
topic curve fitting
IEEE standards
iterative methods
least squares approximations
numerical stability
url https://doi.org/10.1049/sil2.12061
work_keys_str_mv AT balazsrenczes acomputationallyefficientnoniterativefourparametersinefittingmethod
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AT balazsrenczes computationallyefficientnoniterativefourparametersinefittingmethod
AT vilmospalfi computationallyefficientnoniterativefourparametersinefittingmethod