A New Fast Approximate Hilbert Transform with Different Applications

A new and fast approximate Hilbert transform based on subband decomposition is presented. This new algorithm is called the subband (SB)-Hilbert transform.  The reduction in complexity is obtained for narrow-band signal applications by considering only the band of most energy.  Different properties o...

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Main Author: Abdulnasir Hossen
Format: Article
Language:English
Published: IIUM Press, International Islamic University Malaysia 2012-08-01
Series:International Islamic University Malaysia Engineering Journal
Online Access:http://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/346
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author Abdulnasir Hossen
author_facet Abdulnasir Hossen
author_sort Abdulnasir Hossen
collection DOAJ
description A new and fast approximate Hilbert transform based on subband decomposition is presented. This new algorithm is called the subband (SB)-Hilbert transform.  The reduction in complexity is obtained for narrow-band signal applications by considering only the band of most energy.  Different properties of the SB-Hilbert transform are discussed with simulation examples.  The new algorithm is compared with the full band Hilbert transform in terms of complexity and accuracy. The aliasing errors taking place in the algorithm are found by applying the Hilbert transform to the inverse FFT (time signal) of the aliasing errors of the SB-FFT of the input signal.  Different examples are given to find the analytic signal using SB-Hilbert transform with a varying number of subbands.  Applications of the new algorithm are given in single-sideband amplitude modulation and in demodulating frequency-modulated signals in communication systems. Key Words:  Fast Algorithms, Hilbert Transform, Analytic Signal Processing.
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spelling doaj.art-572d7901fd544e91a118dc7f755942ad2022-12-22T00:22:40ZengIIUM Press, International Islamic University MalaysiaInternational Islamic University Malaysia Engineering Journal1511-788X2289-78602012-08-012210.31436/iiumej.v2i2.346A New Fast Approximate Hilbert Transform with Different ApplicationsAbdulnasir Hossen0Information Engineering Department, Sultan Qaboos University, P.O.Box 33 Al-Khod, 123 Sultanate of OmanA new and fast approximate Hilbert transform based on subband decomposition is presented. This new algorithm is called the subband (SB)-Hilbert transform.  The reduction in complexity is obtained for narrow-band signal applications by considering only the band of most energy.  Different properties of the SB-Hilbert transform are discussed with simulation examples.  The new algorithm is compared with the full band Hilbert transform in terms of complexity and accuracy. The aliasing errors taking place in the algorithm are found by applying the Hilbert transform to the inverse FFT (time signal) of the aliasing errors of the SB-FFT of the input signal.  Different examples are given to find the analytic signal using SB-Hilbert transform with a varying number of subbands.  Applications of the new algorithm are given in single-sideband amplitude modulation and in demodulating frequency-modulated signals in communication systems. Key Words:  Fast Algorithms, Hilbert Transform, Analytic Signal Processing.http://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/346
spellingShingle Abdulnasir Hossen
A New Fast Approximate Hilbert Transform with Different Applications
International Islamic University Malaysia Engineering Journal
title A New Fast Approximate Hilbert Transform with Different Applications
title_full A New Fast Approximate Hilbert Transform with Different Applications
title_fullStr A New Fast Approximate Hilbert Transform with Different Applications
title_full_unstemmed A New Fast Approximate Hilbert Transform with Different Applications
title_short A New Fast Approximate Hilbert Transform with Different Applications
title_sort new fast approximate hilbert transform with different applications
url http://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/346
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