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Noise Characterization and Treatment of Non-Gaussian Noise in Transient Waveform Analysis
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English
Abstract
Automotive design engineers involved in reducing the susceptibility of their designs to electrical transients and suppressing any transients conducted due to switching processes in the device find their job made difficult by the lack of any specification or uniform test methods for characterizing transient waveforms. Transient waveforms obtained from the same source vary randomly, possibly due to differences in the operating and actuating conditions. Instrumentation error can also be modeled as an additive noise in the observed signal. A technique is presented in this paper to obtain a time domain difference equation model for the transients when the additive noise present in the acquired waveforms can be modeled as a non-Gaussian process.
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Citation
Kumar, R., "Noise Characterization and Treatment of Non-Gaussian Noise in Transient Waveform Analysis," SAE Technical Paper 860542, 1986, https://doi.org/10.4271/860542.Also In
References
- Kalman, R.E. ‘A New Approach to Linear Filtering and Prediction Problems’ Transactions ASME, J. Basic Eng. 82D March 1960 33 45
- Kushner, H.J. Anakwa W.N. ‘An Approach to Useful but Nonoptimal Nonlinear Filters’ IEEE Transactions on Automatic Control AC-19 August 1974 398 401
- Haddad, A.H. ‘Optimum Filtering with a Class of Nonlinear Systems’ IEEE Transctions on Automatic Control AC-13 June 1968 289 292
- Kushner, H.J. ‘Approximations to Optimal Nonlinear Filters’ IEEE Transactions on Automatic Control AC-12 October 1967 546 556 West Virginia University Morgantown, WV 26506
- Kumar, R. ‘State Estimation in Systems with Discrete-Valued Plant Noise and Uniform Observation Noise’ Ph.D. Dissertation Graduate School of Engineering, West Virginia University Morgantown, WV 26506