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On resolution and exponential discrimination between Gaussian stationary vector processes and dynamic models

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1 Author(s)
Kazakos, D. ; University of Massachusetts, Amherst, MA, USA

We derive new necessary and sufficient conditions for exponentially convergent discrimination between two stationary vector Gaussian processes, and relate them to previously studied conditions for parameter identifiability and consistent discrimination.

Published in:

Automatic Control, IEEE Transactions on  (Volume:25 ,  Issue: 2 )