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

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.

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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.

Item Type: Conference or Workshop Item (Other)
Additional Information: 2470/22610
Uncontrolled Keywords: exponentially decaying signal, gardner transformation, optimal and homomorphic deconvolution
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr. Shahrul Naim Sidek
Date Deposited: 04 Apr 2012 10:57
Last Modified: 10 Jan 2019 13:11
URI: http://irep.iium.edu.my/id/eprint/22610

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