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TECHNICAL PAPERS

Signal Conditioning With Memory-Less Nonlinear Sensors

[+] Author and Article Information
Sugathevan Suranthiran

Department of Mechanical Engineering, Texas A&M University, College Station, Texase-mail: suren@neo.tamu.edu

Suhada Jayasuriya

Department of Mechanical Engineering, Texas A&M University, College Station, Texase-mail: sjayasuriya@mengr.tamu.edu

J. Dyn. Sys., Meas., Control 126(2), 284-293 (Aug 05, 2004) (10 pages) doi:10.1115/1.1766030 History: Received July 01, 2003; Revised November 11, 2003; Online August 05, 2004
Copyright © 2004 by ASME
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References

Tekalp,  A. M., and Pavlovic,  G., 1991, “Image restoration with multiplicative noise: Incorporating the sensor nonlinearity,” IEEE Transactions on Signal Processing, 39(9), pp. 2132–2136.
Rush, A., 1998, “Nonlinear sensors impact digital imaging,” Electronics Engineer.
Martin, W., 2001, “High dynamic cmos image sensors,” G.I.T. Imaging and Microscopy, pp. 26–28.
Maxim Integrated Products Incorporated, 2002, “Sensors and sensor conditioners,” See also URL http://www.maxim-ic.com/Sensors.cfm.
Nwagboso, C. O., (Editor), 1993, Automotive Sensory System, Chapman & Hall, London.
CMPerformance Dyno Service, 2002, “Oxygen sensors: Technical information,” See also URL http://www.cmperformance.com/techinfo.shtmi.
Udd, E. (Editor), 1991, Fiber Optic Sensors: An Introduction for Engineers and Scientists, John Wiley and Sons, New York.
Kothari, M, Webster, J. G., Tompkins, W. J., Wertsch, J. J., and Bach y Rita, P., 1988, “Capacitive sensors for measuring the pressure between the foot and shoe,” In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 805–806.
Jayasuriya, S. and Langari, R., 1996, “Nonlinear filtering of signals exhibiting large fluctuations in strength,” In: Proceedings of the 1996 ASME International Mechanical Engineering Congress and Exposition, pp. 159–163.
S. Suranthiran and S. Jayasuriya, 2002, “A filtering methodology to recover signals distorted by sensor nonlinearity,” In: Proceedings of the Japan-USA Symposium on Flexible Automation, pp. 1027–1034.
Sandberg,  I. W., 1994, “Notes on pq theorems,” IEEE Trans. Circuits Syst., I: Fundam. Theory Appl., 41(4), pp. 303–307.
Zames,  G. D., 1959, “Conservation of bandwidth in nonlinear operations,” Quarterly Progress Report, MIT Research Laboratory of Engineering, 55, pp. 98–109.
Tsimbinos,  J., and Lever,  K. V., 2001, “Nonlinear system compensation based on orthogonal polynomial inverses,” IEEE Trans. Circuits Syst., I: Fundam. Theory Appl., 48(4), pp. 406–417.
G. Kaiser, 1994, A Friendly Guide to Wavelets, Birkhauser, Boston.

Figures

Grahic Jump Location
Comparison of Linear and Nonlinear Characteristics
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Recovery of Signals corrupted by Noise
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Effect of α on the weight α/1−r
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Noise Removal and Signal Recovery Setup
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Nonlinear Sensor used in Example 1
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Spectrum of Chirp Signal
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Time Frequency Map obtained using Continuous Wavelet Transform
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Solution to the Recursive Equation (Example 2)
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Nonlinear Diode Circuit
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Distorted nonlinear circuit output vout
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Comparison of Linear and Nonlinear Sensor Functions
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Spectrum of Sensor Noise
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Spectrum of the Linear Sensor Output
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Spectrum of the Nonlinear Sensor Output
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Spectrum of Recovered Signal

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