Cramer-Rao Lower Bound for Parameter Estimation of Multiexponential Signals

The Cramer Rao Lower Bound on the mean square error of unbiased estimators is widely used as a measure of accuracy of parameter estimates obtained from a given data. In this paper, derivation of the Cramer-Rao Bound on real decay rates of multiexponential signals buried in white Gaussian noise is...

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Main Authors: Jibia, Abdussamad U., Salami, Momoh Jimoh Emiyoka, Khalifa, Othman Omran, Elfaki, Faiz A. M.
Format: Proceeding Paper
Language:English
Published: 2009
Subjects:
Online Access:http://irep.iium.edu.my/5895/
http://irep.iium.edu.my/5895/1/05367779.pdf
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author Jibia, Abdussamad U.
Salami, Momoh Jimoh Emiyoka
Khalifa, Othman Omran
Elfaki, Faiz A. M.
author_facet Jibia, Abdussamad U.
Salami, Momoh Jimoh Emiyoka
Khalifa, Othman Omran
Elfaki, Faiz A. M.
author_sort Jibia, Abdussamad U.
building IIUM Repository
collection Online Access
description The Cramer Rao Lower Bound on the mean square error of unbiased estimators is widely used as a measure of accuracy of parameter estimates obtained from a given data. In this paper, derivation of the Cramer-Rao Bound on real decay rates of multiexponential signals buried in white Gaussian noise is presented. It is then used to compare the efficiencies of some of the techniques used in the analysis of such signals. Specifically, two eigendecomposition-based techniques as well as SVD-ARMA (Singular Value Decomposition Autoregressive Moving Average) method are tested and evaluated. The two eigenvector methods were found to outperform SVD-ARMA with minimum norm being the most reliable at very low SNRs (Signal to Noise Ratios).
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format Proceeding Paper
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institution International Islamic University Malaysia
institution_category Local University
language English
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publishDate 2009
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spelling iium-58952011-11-21T22:33:26Z http://irep.iium.edu.my/5895/ Cramer-Rao Lower Bound for Parameter Estimation of Multiexponential Signals Jibia, Abdussamad U. Salami, Momoh Jimoh Emiyoka Khalifa, Othman Omran Elfaki, Faiz A. M. T Technology (General) The Cramer Rao Lower Bound on the mean square error of unbiased estimators is widely used as a measure of accuracy of parameter estimates obtained from a given data. In this paper, derivation of the Cramer-Rao Bound on real decay rates of multiexponential signals buried in white Gaussian noise is presented. It is then used to compare the efficiencies of some of the techniques used in the analysis of such signals. Specifically, two eigendecomposition-based techniques as well as SVD-ARMA (Singular Value Decomposition Autoregressive Moving Average) method are tested and evaluated. The two eigenvector methods were found to outperform SVD-ARMA with minimum norm being the most reliable at very low SNRs (Signal to Noise Ratios). 2009 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/5895/1/05367779.pdf Jibia, Abdussamad U. and Salami, Momoh Jimoh Emiyoka and Khalifa, Othman Omran and Elfaki, Faiz A. M. (2009) Cramer-Rao Lower Bound for Parameter Estimation of Multiexponential Signals. In: 16th International Conference on Systems, Signals and Image Processing (IWSSIP 2009), 18-20 June 2009 , Chalkida. http://dx.doi.org/10.1109/IWSSIP.2009.5367779 doi:10.1109/IWSSIP.2009.5367779
spellingShingle T Technology (General)
Jibia, Abdussamad U.
Salami, Momoh Jimoh Emiyoka
Khalifa, Othman Omran
Elfaki, Faiz A. M.
Cramer-Rao Lower Bound for Parameter Estimation of Multiexponential Signals
title Cramer-Rao Lower Bound for Parameter Estimation of Multiexponential Signals
title_full Cramer-Rao Lower Bound for Parameter Estimation of Multiexponential Signals
title_fullStr Cramer-Rao Lower Bound for Parameter Estimation of Multiexponential Signals
title_full_unstemmed Cramer-Rao Lower Bound for Parameter Estimation of Multiexponential Signals
title_short Cramer-Rao Lower Bound for Parameter Estimation of Multiexponential Signals
title_sort cramer-rao lower bound for parameter estimation of multiexponential signals
topic T Technology (General)
url http://irep.iium.edu.my/5895/
http://irep.iium.edu.my/5895/
http://irep.iium.edu.my/5895/
http://irep.iium.edu.my/5895/1/05367779.pdf