A two-dimensional fast lattice recursive least squares algorithm

This paper is mainly devoted to the derivation of a new two-dimensional fast lattice recursive least squares (2D FLRLS) algorithm. This algorithm updates the filter coefficients in growing-order form with linear computational complexity. After appropriately defining the "order" of 2D data...

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Vydáno v:	IEEE transactions on signal processing Ročník 44; číslo 10; s. 2557 - 2567
Hlavní autoři:	Xiang Liu, Najim, M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.10.1996 Institute of Electrical and Electronics Engineers
Témata:	Applied sciences Computational complexity Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Lattices Least squares methods Nonlinear filters Reflection Resonance light scattering Signal and communications theory Signal processing algorithms Signal, noise System identification Telecommunications and information theory Transversal filters Two dimensional displays Recursive method Signal processing Fast algorithm Least squares method Signal estimation Prediction
ISSN:	1053-587X
On-line přístup:	Získat plný text
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