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Gaussian process parameter estimation using zero crossing data from wireless sensors
Karlstad University, Faculty of Technology and Science, Department of Physics and Electrical Engineering.
2014 (English)In: 2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), IEEE Signal Processing Society, 2014, 409-413 p.Conference paper, (Refereed)
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Text
Abstract [en]

The parameters in a general Gaussian process, including the parameters in an additive Gaussian noise process, are estimated based on zero crossing data for the total process and arbitrarily filtered versions thereof. A nonlinear weighted least squares estimate is considered and an analysis of the asymptotic covariance matrix of the estimated parameter vector is made. The proposed estimator and the use of zero crossing data are suitable when information of a process is sent from wireless sensors to a node center for further processing due to an efficient use of available bandwidth.

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2014. 409-413 p.
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keyword [en]
Gaussian process, estimation, zero crossings, wireless sensors, accuracy analysis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kau:diva-41573ISI: 000343655300083ISBN: 978-1-4799-2893-4 (print)OAI: oai:DiVA.org:kau-41573DiVA: diva2:923091
Conference
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 04-09, 2014, Florence, ITALY
Available from: 2016-04-25 Created: 2016-04-11 Last updated: 2016-07-07Bibliographically approved

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CiteExportLink to record
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  • apa
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