A new simulation algorithm is developed for generating realizations of a stationary bandlimited Gaussian process. The algorithm is based on a parametric model that can be derived from a sampling theorem, and consists of a superposition of a finite set of deterministic functions of time with random a
β¦ LIBER β¦
A sampling theorem for multivariate stationary processes
β Scribed by Mohsen Pourahmadi
- Publisher
- Elsevier Science
- Year
- 1983
- Tongue
- English
- Weight
- 485 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0047-259X
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It often happens that we observe a process Z(t) without knowing the observation dates. We put ourselves in the case where the stationary process and the sampling instants are non-observed and of the form t. = n + A.. In the case where the A. have the same probability law, we give a NSC in order that