Application of Kalman Filter to Noise Reduction in Multichannel Data
Journal Title: Schedae Informaticae - Year 2009, Vol 2009, Issue 0
Abstract
The results of application of multichannel Kalman filtering to reduction of uncorrelated noise in magnetotelluric recordings are discussed in this article. Magnetotelluric method of Earth structure recognition is shortly presented together with the its most popular measurement method called the remote reference method. The basic theory of nonstationar, discrete Kalman filter and its implementation to multichannel magnetotelluric data recorded in multi-site experiment are also discussed with details. The practical examples of Kalman filter application to the real 2D and 3D data illustrate the merits of presented technique.
Authors and Affiliations
Andrzej Leśniak, Tomasz Danek, Marek Wojdyła
Keywords
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