Recursive local orthogonality filtering

Recursive local orthogonality (RLO) is a stochastic Newton algorithm to achieve a condition we term local orthogonality, which only requires unimodal symmetric densities with continuous nonzero second derivatives near the origin. For Gaussian systems, RLO reduces to recursive least squares. Local or...

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Veröffentlicht in:	IEEE transactions on signal processing 1997-09, Vol.45 (9), p.2293-2300
Hauptverfasser:	Bodenschatz, J.S., Nikias, C.L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Detection, estimation, filtering, equalization, prediction Equations Exact sciences and technology Filtering Finite impulse response filter Frequency domain analysis Information, signal and communications theory Inverse problems Least squares methods Signal and communications theory Signal, noise Stochastic processes System identification Telecommunications and information theory Transversal filters Working environment noise
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