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Approaches to adaptive filtering

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1 Author(s)
Mehra, R.K. ; Systems Control, Inc., Palo Alto, CA, USA

The different methods of adaptive filtering are divided into four categories: Bayesian, maximum likelihood (ML), correlation, and covariance matching. The relationship between the methods and the difficulties associated with each method are described. New algorithms for the direct estimation of the optimal gain of a Kalman filter are given.

Published in:

Automatic Control, IEEE Transactions on  (Volume:17 ,  Issue: 5 )