Techniques for Determining Robust Estimates of Correlation Functions for Random Noisy Signals


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Abstract

We analyze difficulties and propose algorithms for determining robust estimates of correlation functions for random noisy signals in monitoring and control systems. Robustness conditions are satisfied by eliminating the effect of interference on the error of the estimates obtained for a useful signal, correlated or uncorrelated with interference.

About the authors

T. A. Aliev

Institute of Control Systems, National Academy of Sciences of Azerbaijan

Author for correspondence.
Email: telmancyber@rambler.ru
Azerbaijan, Baku

N. E. Rzaeva

Institute of Control Systems, National Academy of Sciences of Azerbaijan

Email: telmancyber@rambler.ru
Azerbaijan, Baku

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