Title:
SELF ADAPTIVE TWO DIMENSIONAL LEAST SQUARE FILTER FOR DISTRIBUTED SENSING DATA
Document Type and Number:
WIPO Patent Application WO/2012/075139
Kind Code:
A3
Abstract:
A method, apparatus and computer-readable medium for filtering a signal from a plurality of distributed sensors is disclosed. The signal is obtained from the plurality of distributed strain sensors. A first subspace of a measurement space of the obtained signal is selected, wherein the first subspace is characterized by a step having a selected step size. An error for a filter corresponding to the first subspace is estimated and the step size when the estimated error meets a selected criterion. A second subspace characterized by a step having the adjusted step size is selected and the signal is filtered by applying a filter corresponding to the second subspace.
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Inventors:
CHEN JIANFENG (US)
YANG XUDONG (US)
YANG XUDONG (US)
Application Number:
PCT/US2011/062642
Publication Date:
October 11, 2012
Filing Date:
November 30, 2011
Export Citation:
Assignee:
BAKER HUGHES INC (US)
CHEN JIANFENG (US)
YANG XUDONG (US)
CHEN JIANFENG (US)
YANG XUDONG (US)
International Classes:
G01V3/00; G01V3/38
Foreign References:
| US5653234A | 1997-08-05 | |||
| US6446009B1 | 2002-09-03 | |||
| US20090292475A1 | 2009-11-26 |
Other References:
BERNSTEIN R.: "Adaptive Nonlinear Filters for Simultaneous Removal of Different Kinds of Noise in Images", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, vol. CAS-34, no. 11, November 1987 (1987-11-01), pages 1275 - 1291, XP055003843
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