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...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2000
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/22610/ http://irep.iium.edu.my/22610/1/2000TENCON_multicomponent.pdf |
| _version_ | 1848779032743641088 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:11:20Z |
| format | Proceeding Paper |
| id | iium-22610 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:11:20Z |
| publishDate | 2000 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| spellingShingle | TA168 Systems engineering Salami, Momoh Jimoh Emiyoka Sidek, Shahrul Na'im Performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals |
| title | 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_short | 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 |
| topic | TA168 Systems engineering |
| url | http://irep.iium.edu.my/22610/ http://irep.iium.edu.my/22610/ http://irep.iium.edu.my/22610/1/2000TENCON_multicomponent.pdf |