A new method for automated noise cancellation in electromagnetic field measurement
Electromagnetic field (EMF) measurements have limited accuracy, which is additionally impaired by meter self-noise influence. In this paper a novel noise cancellation method is proposed, based on the Hidden Markov Model (HMM) methodology. It allows to calculate the overall field intensity with a much higher accuracy than that obtained from other popular approaches, especially when EMF measurements are close to the noise level. The effectiveness of the new method is illustrated on two EMF datasets, one recorded in an urban and another in a rural area. Its performance is further evaluated in a thorough simulation study using datasets representing the two distinct noisy environments.
|Date of creation:||2012|
|Date of revision:|
|Publication status:||Forthcoming in Journal of Electromagnetic Waves and Applications 26(8-9), 1226-1236 (2012).|
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Web page: http://prac.im.pwr.wroc.pl/~hugo
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- Joanna Janczura & Rafal Weron, 2011.
"Efficient estimation of Markov regime-switching models: An application to electricity spot prices,"
HSC Research Reports
HSC/11/02, Hugo Steinhaus Center, Wroclaw University of Technology.
- Joanna Janczura & Rafał Weron, 2012. "Efficient estimation of Markov regime-switching models: An application to electricity spot prices," AStA Advances in Statistical Analysis, Springer, vol. 96(3), pages 385-407, July.
- Weron, Rafal & Janczura, Joanna, 2010. "Efficient estimation of Markov regime-switching models: An application to electricity wholesale market prices," MPRA Paper 26628, University Library of Munich, Germany.
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