Poisson sampling and spectral estimation of continuous-time processes

作者: E. Masry

DOI: 10.1109/TIT.1978.1055858

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摘要: A class of spectral estimates continuous-time stationary stochastic processes X(t) from a finite number observations \{X(t_{n})\}^{N}_{n}=l taken at Poisson sampling instants \{t_{n}\} is considered. The asymptotic bias and covariance the are derived, influence windows rate on performance discussed. shown to be consistent under mild smoothness conditions density. Comparison made with related suggested in [15] where {\em random}. It that periodograms two classes have distinct statistics.

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