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...

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Main Authors:	Salami, Momoh Jimoh Eyiomika, Nichols, S.T, Smith, M.R
Format:	Conference or Workshop Item
Language:	English
Published:	1987
Subjects:	T Technology (General)
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

id	iium-6941
recordtype	eprints
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 Conference or Workshop Item 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.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Salami, Momoh Jimoh Eyiomika Nichols, S.T Smith, M.R A SVD-based transient error method for analyzing noisy multicomponent
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.
format	Conference or Workshop Item
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
title	A SVD-based transient error method for analyzing noisy multicomponent
title_short	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_sort	svd-based transient error method for analyzing noisy multicomponent
publishDate	1987
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
first_indexed	2023-09-18T20:16:06Z
last_indexed	2023-09-18T20:16:06Z
_version_	1777407797937307648

A SVD-based transient error method for analyzing noisy multicomponent

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