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...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9558799/ |
_version_ | 1811274318914519040 |
---|---|
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. |
first_indexed | 2024-04-12T23:16:52Z |
format | Article |
id | doaj.art-17b9cfe6fbcd4ad9b427d1344039b6f4 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-12T23:16:52Z |
publishDate | 2021-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
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 |