Numerical Hilbert Transform Algorithm for Causal Interpolation of Functions Represented by Cubic and Exponential Splines

This paper presents an algorithm for numerical Hilbert transform of functions represented by cubic and exponential splines, which is suitable for causal interpolation of data spanning several frequency decades. It does not suffer from excessive number of data points due to large frequency span, and...

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Main Author: Dusan N. Grujic
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9558799/
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author Dusan N. Grujic
author_facet Dusan N. Grujic
author_sort Dusan N. Grujic
collection DOAJ
description This paper presents an algorithm for numerical Hilbert transform of functions represented by cubic and exponential splines, which is suitable for causal interpolation of data spanning several frequency decades. It does not suffer from excessive number of data points due to large frequency span, and does not exhibit aliasing, both of which are characteristic for Hilbert transform algorithms based on FFT. The proposed algorithm was used for causal interpolation of characteristic impedance of microstrip line over conductive substrate, and the results were compared to the output of CausalCat.
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spelling doaj.art-17b9cfe6fbcd4ad9b427d1344039b6f42022-12-22T03:12:38ZengIEEEIEEE Access2169-35362021-01-01913670213670910.1109/ACCESS.2021.31179789558799Numerical Hilbert Transform Algorithm for Causal Interpolation of Functions Represented by Cubic and Exponential SplinesDusan N. Grujic0https://orcid.org/0000-0002-7949-8766School of Electrical Engineering, University of Belgrade, Belgrade, SerbiaThis paper presents an algorithm for numerical Hilbert transform of functions represented by cubic and exponential splines, which is suitable for causal interpolation of data spanning several frequency decades. It does not suffer from excessive number of data points due to large frequency span, and does not exhibit aliasing, both of which are characteristic for Hilbert transform algorithms based on FFT. The proposed algorithm was used for causal interpolation of characteristic impedance of microstrip line over conductive substrate, and the results were compared to the output of CausalCat.https://ieeexplore.ieee.org/document/9558799/CausalityHilbert transforminterpolation
spellingShingle Dusan N. Grujic
Numerical Hilbert Transform Algorithm for Causal Interpolation of Functions Represented by Cubic and Exponential Splines
IEEE Access
Causality
Hilbert transform
interpolation
title Numerical Hilbert Transform Algorithm for Causal Interpolation of Functions Represented by Cubic and Exponential Splines
title_full Numerical Hilbert Transform Algorithm for Causal Interpolation of Functions Represented by Cubic and Exponential Splines
title_fullStr Numerical Hilbert Transform Algorithm for Causal Interpolation of Functions Represented by Cubic and Exponential Splines
title_full_unstemmed Numerical Hilbert Transform Algorithm for Causal Interpolation of Functions Represented by Cubic and Exponential Splines
title_short Numerical Hilbert Transform Algorithm for Causal Interpolation of Functions Represented by Cubic and Exponential Splines
title_sort numerical hilbert transform algorithm for causal interpolation of functions represented by cubic and exponential splines
topic Causality
Hilbert transform
interpolation
url https://ieeexplore.ieee.org/document/9558799/
work_keys_str_mv AT dusanngrujic numericalhilberttransformalgorithmforcausalinterpolationoffunctionsrepresentedbycubicandexponentialsplines