Sample continuity with probability one for the estimator of impulse response function
DOI:
https://doi.org/10.17721/1812-5409.2020/3.10Abstract
The problem of estimation of a stochastic linear system has been a matter of active research for the last years. One of the simplest models considers a ‘black box’ with some input and a certain output. The input may be single or multiple and there is the same choice for the output. This generates a great amount of models that can be considered. The sphere of applications of these models is very extensive, ranging from signal processing and automatic control to econometrics (errors-in-variables models). In this paper a time-invariant continuous linear system is considered with a real-valued impulse response function. We assume that impulse function is square-integrable. Input signal is supposed to be Gaussian stationary stochastic process with known spectral density. A sample input–output crosscorrelogram is taken as an estimator of the response function. The conditions on sample continuousness with probability one for impulse response function are investigated.
Key words: impulse response function, linear time-invariant system (LTI), Gaussian process, crosscorrelogram, sample continuity.
Pages of the article in the issue: 96 - 102
Language of the article: Ukrainian
References
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KOZACHENKO YU., ROZORA I. (2019) Conditions of sample continuity with probability one for Square-Gaussian stochastic processes. Theor. Probability and Math. Statist., 101, 134-146.
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