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Article

Recovery of Signals Distorted by Sensor Nonlinearity

[+] Author and Article Information
Sugathevan Suranthiran, Suhada Jayasuriya

Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843-3123

J. Dyn. Sys., Meas., Control 126(4), 848-859 (Mar 11, 2005) (12 pages) doi:10.1115/1.1849250 History: Received November 29, 2003; Revised November 29, 2004; Online March 11, 2005
Copyright © 2004 by ASME
Topics: Sensors , Signals , Algorithms
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References

Rush, A., 1998, “Nonlinear Sensors Impact Digital Imaging,” Electron. Eng. (U.K.).
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Jayasuriya, S., and Langari, R., 1996, “Nonlinear Filtering of Signals Exhibiting Large Fluctuations in Strength,” Proc. ASME International Mechanical Engineering Congress and Exposition, pp. 159–163.
Proakis, J., and Manolakis, D., 1996, Digital Signal Processing, Prentice–Hall, Inc., Upper Saddle River, NJ.
Heuser, H. G., 1982, Functional Analysis, John Wiley & Sons, New York.
Gustafson, D. E., and Kessel, W. C., 1979, “Fuzzy Clustering With a Fuzzy Covariance Matrix,” Proc. IEEE Conference on Decision and Control, pp. 761–766.
Babusha, R., and Vebruggen, H. B., 1995, “Identification of Composite Linear Models Via Fuzzy Clustering,” Proc. of the European Control Conference, pp. 1207–1212.
Frank, W., 1995, “Compensation of Linear and Nonlinear Sensor Distortions by Digital Post Processing,” Proc. Kongressband Sensor ’95, pp. 889–892.

Figures

Grahic Jump Location
Nonlinear sensor function (approximated)
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Spectrum of the recovered signal
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Implementing signal recovery scheme
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Nonlinear diode circuit
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Model identification scheme
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Signal recovery implementation scheme based on fuzzy model
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Recovered signal and the error values

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