Performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals

Deconvolution is an important preprocessing procedure often needed in the spectral analysis of transient exponentially decaying signals. Three deconvolution techniques are studied and applied to the problem of estimating the parameters of multiexponential signals observed in noise. Both the co...

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Main Authors:	Salami, Momoh Jimoh Emiyoka, Sidek, Shahrul Na'im
Format:	Conference or Workshop Item
Language:	English
Published:	2000
Subjects:	TA168 Systems engineering
Online Access:	http://irep.iium.edu.my/22610/ http://irep.iium.edu.my/22610/ http://irep.iium.edu.my/22610/1/2000TENCON_multicomponent.pdf

id	iium-22610
recordtype	eprints
spelling	iium-226102019-01-10T05:11:31Z http://irep.iium.edu.my/22610/ Performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals Salami, Momoh Jimoh Emiyoka Sidek, Shahrul Na'im TA168 Systems engineering Deconvolution is an important preprocessing procedure often needed in the spectral analysis of transient exponentially decaying signals. Three deconvolution techniques are studied and applied to the problem of estimating the parameters of multiexponential signals observed in noise. Both the conventional and optimal compensated inverse filtering approaches produce data which are further analyzed by SVD-based autoregressive moving average (ARMA) modeling techniques. The third procedure is based on homomorphic filtering and it is implemented by fast Fourier transform (FFT) technique. A comparative study of the performance of the above deconvolution techniques in analyzing multicomponent exponential signals with varied signal-to-noise ratio (SNR) is examined in this paper. The results of simulation studies show that the homomorphic deconvolution technique is most computationally efficient, however, it produces inaccurate estimates of signal parameters even at high SNR, especially with closely related exponents. Simulation results show that the optimal compensation deconvolution technique is indeed a generalized form of the conventional inverse filtering and has the potential of producing accurate estimates of signal parameters from a substantial wide range of SNR data. 2000 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/22610/1/2000TENCON_multicomponent.pdf Salami, Momoh Jimoh Emiyoka and Sidek, Shahrul Na'im (2000) Performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals. In: Proceedings TENCON 2000, 24-27 Sept 2000, Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=893716
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TA168 Systems engineering
spellingShingle	TA168 Systems engineering Salami, Momoh Jimoh Emiyoka Sidek, Shahrul Na'im Performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals
description	Deconvolution is an important preprocessing procedure often needed in the spectral analysis of transient exponentially decaying signals. Three deconvolution techniques are studied and applied to the problem of estimating the parameters of multiexponential signals observed in noise. Both the conventional and optimal compensated inverse filtering approaches produce data which are further analyzed by SVD-based autoregressive moving average (ARMA) modeling techniques. The third procedure is based on homomorphic filtering and it is implemented by fast Fourier transform (FFT) technique. A comparative study of the performance of the above deconvolution techniques in analyzing multicomponent exponential signals with varied signal-to-noise ratio (SNR) is examined in this paper. The results of simulation studies show that the homomorphic deconvolution technique is most computationally efficient, however, it produces inaccurate estimates of signal parameters even at high SNR, especially with closely related exponents. Simulation results show that the optimal compensation deconvolution technique is indeed a generalized form of the conventional inverse filtering and has the potential of producing accurate estimates of signal parameters from a substantial wide range of SNR data.
format	Conference or Workshop Item
author	Salami, Momoh Jimoh Emiyoka Sidek, Shahrul Na'im
author_facet	Salami, Momoh Jimoh Emiyoka Sidek, Shahrul Na'im
author_sort	Salami, Momoh Jimoh Emiyoka
title	Performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals
title_short	Performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals
title_full	Performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals
title_fullStr	Performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals
title_full_unstemmed	Performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals
title_sort	performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals
publishDate	2000
url	http://irep.iium.edu.my/22610/ http://irep.iium.edu.my/22610/ http://irep.iium.edu.my/22610/1/2000TENCON_multicomponent.pdf
first_indexed	2023-09-18T20:34:25Z
last_indexed	2023-09-18T20:34:25Z
_version_	1777408949782315008

Performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals

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