A SVD-based transient error method for analyzing noisy multicomponent
The problem of estimating the parameters of noisy multicomponent signals using parametric modeling technique is considered in this paper. The multicomponent signal of interest is formed by a superposition of basic functions having the same location in time but different widths and amplitudes. Based...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
1987
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| Online Access: | http://irep.iium.edu.my/6941/ http://irep.iium.edu.my/6941/1/A_SVD-BASED_TRANSIENT_ERROR_METHOD_FOR_ANALYZING_NOISY_MULTICOMPONENT.pdf |
| _version_ | 1848776753341792256 |
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| author | Salami, Momoh Jimoh Eyiomika Nichols, S.T Smith, M.R |
| author_facet | Salami, Momoh Jimoh Eyiomika Nichols, S.T Smith, M.R |
| author_sort | Salami, Momoh Jimoh Eyiomika |
| building | IIUM Repository |
| collection | Online Access |
| description | The problem of estimating the parameters of noisy multicomponent signals using parametric modeling technique is considered in this paper. The multicomponent signal of interest is formed by a superposition of basic functions having the same location in time but different widths and amplitudes. Based on the modified Gardner transformation, some samples of deconvolved data are derived from the multicomponent signals. The deconvolved data are then modeled using a special nonstationary autoregressive moving average (ARMA) process in which the parameters of the ARMA model are obtained by linear least-squares procedure. The least-squares procedure is based on the singular value decomposition (SVD) to overcome the limitations of the transient error method (TEM) of analysis that uses cholesky decomposition to determine its AR coefficients. The moving average (MA) coefficients corresponds to the initial residual error sequences so as to account for the nonstationary noise in the deconvolved data. This new method of analysis, termed the SVD-based transient error method, produces high resolution estimates of the exponents of multicomponent signals at both low and high signal to noise (SNR) ratios. |
| first_indexed | 2025-11-14T14:35:06Z |
| format | Proceeding Paper |
| id | iium-6941 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:35:06Z |
| publishDate | 1987 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-69412013-05-08T03:01:27Z http://irep.iium.edu.my/6941/ A SVD-based transient error method for analyzing noisy multicomponent Salami, Momoh Jimoh Eyiomika Nichols, S.T Smith, M.R T Technology (General) The problem of estimating the parameters of noisy multicomponent signals using parametric modeling technique is considered in this paper. The multicomponent signal of interest is formed by a superposition of basic functions having the same location in time but different widths and amplitudes. Based on the modified Gardner transformation, some samples of deconvolved data are derived from the multicomponent signals. The deconvolved data are then modeled using a special nonstationary autoregressive moving average (ARMA) process in which the parameters of the ARMA model are obtained by linear least-squares procedure. The least-squares procedure is based on the singular value decomposition (SVD) to overcome the limitations of the transient error method (TEM) of analysis that uses cholesky decomposition to determine its AR coefficients. The moving average (MA) coefficients corresponds to the initial residual error sequences so as to account for the nonstationary noise in the deconvolved data. This new method of analysis, termed the SVD-based transient error method, produces high resolution estimates of the exponents of multicomponent signals at both low and high signal to noise (SNR) ratios. 1987-04 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/6941/1/A_SVD-BASED_TRANSIENT_ERROR_METHOD_FOR_ANALYZING_NOISY_MULTICOMPONENT.pdf Salami, Momoh Jimoh Eyiomika and Nichols, S.T and Smith, M.R (1987) A SVD-based transient error method for analyzing noisy multicomponent. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '87), 6 - 9th April 1987. |
| spellingShingle | T Technology (General) Salami, Momoh Jimoh Eyiomika Nichols, S.T Smith, M.R A SVD-based transient error method for analyzing noisy multicomponent |
| title | A SVD-based transient error method for analyzing noisy multicomponent |
| title_full | A SVD-based transient error method for analyzing noisy multicomponent |
| title_fullStr | A SVD-based transient error method for analyzing noisy multicomponent |
| title_full_unstemmed | A SVD-based transient error method for analyzing noisy multicomponent |
| title_short | A SVD-based transient error method for analyzing noisy multicomponent |
| title_sort | svd-based transient error method for analyzing noisy multicomponent |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/6941/ http://irep.iium.edu.my/6941/1/A_SVD-BASED_TRANSIENT_ERROR_METHOD_FOR_ANALYZING_NOISY_MULTICOMPONENT.pdf |