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Continuous-time recursive least-squares estimation, adaptive neural networks and systolic arrays

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3 Author(s)

We derive square-root covariance-type and information-type algorithms for continuous-time recursive least-squares estimation. The algorithms allow for easy manipulation and uniform parallelization. They are related to well-known neural adaptation laws and can be considered as continuous-time limits of systolic arrays

Published in:

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on  (Volume:42 ,  Issue: 2 )

Date of Publication:

Feb 1995

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