Stochastic Material Model and Application System Analysis

Abstract:

this paper did a profound research on the stochastic material of Electro-optic (EO) polymers and mathematic model, and analyzed the stationary stochastic processes, derived the stochastic process mean and autocorrelation function. Setup a bidirectional diode circuit model as a stochastic system to perform the analysis method. The work done here is very useful for the related subjects such as material analysis, signal processing and system analysis, or linear system design.

• Periodical: Advanced Materials Research (Volume 321)
• Pages: 113-116
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.321.113
• Online since: August 2011
• Authors: Feng Shan Pu, Ping Chuan Zhang, Hang Sen Zhang
• Keywords: Autocorrelation Function, Process Mean, Stationary Processes, Stochastic Material

References

[1] DeRose, Christopher Todd. Electro-optic polymers: Materials and devices [D]. University of Arizona, (2009).

[2] Dan Simon . Optimal State Estimation: Kalman, H and Nonlinear Approaches, A JOHN WILEY & SONS, INC., PUBLICATION, (2006).

[3] P. Peebles, Probability, Random Variables, and Random Signal Principles, McGraw Hill, New York, (2001).

[4] T. Moon and W. Stirling, Mathematical Methods and Algorithms for Signal Processing, Prentice Hall, Upper Saddle River, New Jersey, (2000).

[5] P. Maybeck, Stochastic Models, Estimation, and Control - Volume 3, Academic Press, New York, (1984).