There are several types of random processes that have found wide application because of their realistic physical modeling yet relative mathematical simplicity. In this and the next two chapters we describe these important random processes. They are the Gaussian random process, the subject of this chapter; the Poisson random process, described in Chapter 21; and the Markov chain, described in Chapter 22. Concentrating now on the Gaussian random process, we will see that it has many important properties. These properties have been inherited from those of the N-dimensional Gaussian PDF, which was discussed in Section 14.3.
CITATION STYLE
Kay, S. M. (2012). Gaussian Random Processes. In Intuitive Probability and Random Processes Using MATLAB® (pp. 673–710). Springer US. https://doi.org/10.1007/0-387-24158-2_20
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