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On redefining the optimal least squares filter under floating point operations

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1 Author(s)
Verriest, E.I. ; Georgia Institute of Technology, Atlanta, Georgia

A novel solution on approximation to the least squares filter problem under floating point arithmetic is presented for a linear stochastic model.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.  (Volume:9 )

Date of Conference:

19-21 March 1984