Numerical properties of adaptive recursive least-squares (RLS) algorithms with linear constraints.

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Numerical properties of adaptive recursive least-squares (RLS) algorithms with linear constraints.

Adaptive filters have found applications in many signal processing problems. In some situations, linear constraints are imposed on the filter weights such that the filter is forced to exhibit a certain desired response. Several algorithms for linearly constrained least-squares adaptive filtering hav...

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Bibliographic Details
Main Author:	Huo, Jia Q.
Format:	Thesis
Language:	English
Published:	Curtin University 1999
Subjects:	adaptive RLS algorithms Recursive Least-Squares algorithms linear constraints
Online Access:	http://hdl.handle.net/20.500.11937/270

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