The normalized least-squares order-recursive lattice smoother

This paper introduces a variance- and angle-normalized version of the least-squares order-recursive lattice (LSORL) smoother, say the normalized LSORL smoother, via a geometric approach. The normalized LSORL smoother has excellent round-off noise properties and inherits all the other advantages of t...

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Veröffentlicht in:	Signal processing Jg. 82; H. 6; S. 895 - 905
Hauptverfasser:	Kim, Dong Kyoo, Park, PooGyeon
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.06.2002 Elsevier Science
Schlagworte:	Adaptive filters Applied sciences Detection, estimation, filtering, equalization, prediction Exact sciences and technology Finite precision arithmetic Geometric interpretation Information, signal and communications theory Least-squares lattice algorithms Normalized LSORL smoothers Order-recursive structures Signal and communications theory Signal, noise Smoothing algorithms Telecommunications and information theory Least-squares lattice algorithms Smoothing algorithms Order-recursive structures Adaptive filters Geometric interpretation Normalized LSORL smoothers Finite precision arithmetic Simulation Least squares method Adaptive filtering Recursive method Signal processing Geometrical method Algorithm Lattice structure
ISSN:	0165-1684, 1872-7557
Online-Zugang:	Volltext
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