Fractional Differential Equation-Based Instantaneous Frequency Estimation for Signal Reconstruction

In this paper, we propose a fractional differential equation (FDE)-based approach for the estimation of instantaneous frequencies for windowed signals as a part of signal reconstruction. This approach is based on modeling bandpass filter results around the peaks of a windowed signal as fractional di...

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Main Authors: Bilgi Görkem Yazgaç, Mürvet Kırcı
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Fractal and Fractional
Subjects:
Online Access:https://www.mdpi.com/2504-3110/5/3/83
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spelling doaj-e5ceb8f38fd142ea8cd3b837aebc85e22021-09-26T00:11:16ZengMDPI AGFractal and Fractional2504-31102021-07-015838310.3390/fractalfract5030083Fractional Differential Equation-Based Instantaneous Frequency Estimation for Signal ReconstructionBilgi Görkem Yazgaç0Mürvet Kırcı1Department of Electrics and Electronics, Istanbul Technical University, Istanbul 34469, TurkeyDepartment of Electrics and Electronics, Istanbul Technical University, Istanbul 34469, TurkeyIn this paper, we propose a fractional differential equation (FDE)-based approach for the estimation of instantaneous frequencies for windowed signals as a part of signal reconstruction. This approach is based on modeling bandpass filter results around the peaks of a windowed signal as fractional differential equations and linking differ-integrator parameters, thereby determining the long-range dependence on estimated instantaneous frequencies. We investigated the performance of the proposed approach with two evaluation measures and compared it to a benchmark noniterative signal reconstruction method (SPSI). The comparison was provided with different overlap parameters to investigate the performance of the proposed model concerning resolution. An additional comparison was provided by applying the proposed method and benchmark method outputs to iterative signal reconstruction algorithms. The proposed FDE method received better evaluation results in high resolution for the noniterative case and comparable results with SPSI with an increasing iteration number of iterative methods, regardless of the overlap parameter.https://www.mdpi.com/2504-3110/5/3/83applied fractional calculussignal reconstructioninstantaneous frequency estimationphase estimationmemory parameter
collection DOAJ
language English
format Article
sources DOAJ
author Bilgi Görkem Yazgaç
Mürvet Kırcı
spellingShingle Bilgi Görkem Yazgaç
Mürvet Kırcı
Fractional Differential Equation-Based Instantaneous Frequency Estimation for Signal Reconstruction
Fractal and Fractional
applied fractional calculus
signal reconstruction
instantaneous frequency estimation
phase estimation
memory parameter
author_facet Bilgi Görkem Yazgaç
Mürvet Kırcı
author_sort Bilgi Görkem Yazgaç
title Fractional Differential Equation-Based Instantaneous Frequency Estimation for Signal Reconstruction
title_short Fractional Differential Equation-Based Instantaneous Frequency Estimation for Signal Reconstruction
title_full Fractional Differential Equation-Based Instantaneous Frequency Estimation for Signal Reconstruction
title_fullStr Fractional Differential Equation-Based Instantaneous Frequency Estimation for Signal Reconstruction
title_full_unstemmed Fractional Differential Equation-Based Instantaneous Frequency Estimation for Signal Reconstruction
title_sort fractional differential equation-based instantaneous frequency estimation for signal reconstruction
publisher MDPI AG
series Fractal and Fractional
issn 2504-3110
publishDate 2021-07-01
description In this paper, we propose a fractional differential equation (FDE)-based approach for the estimation of instantaneous frequencies for windowed signals as a part of signal reconstruction. This approach is based on modeling bandpass filter results around the peaks of a windowed signal as fractional differential equations and linking differ-integrator parameters, thereby determining the long-range dependence on estimated instantaneous frequencies. We investigated the performance of the proposed approach with two evaluation measures and compared it to a benchmark noniterative signal reconstruction method (SPSI). The comparison was provided with different overlap parameters to investigate the performance of the proposed model concerning resolution. An additional comparison was provided by applying the proposed method and benchmark method outputs to iterative signal reconstruction algorithms. The proposed FDE method received better evaluation results in high resolution for the noniterative case and comparable results with SPSI with an increasing iteration number of iterative methods, regardless of the overlap parameter.
topic applied fractional calculus
signal reconstruction
instantaneous frequency estimation
phase estimation
memory parameter
url https://www.mdpi.com/2504-3110/5/3/83
work_keys_str_mv AT bilgigorkemyazgac fractionaldifferentialequationbasedinstantaneousfrequencyestimationforsignalreconstruction
AT murvetkırcı fractionaldifferentialequationbasedinstantaneousfrequencyestimationforsignalreconstruction
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