Adaptive IIR filtering using QR matrix decomposition

In this correspondence, an approach to adaptive IIR filtering based on a pseudo-linear regression and applying an iterative QR matrix decomposition is developed. In simulations, the algorithm has shown a high stability and excellent convergence properties. The derivation of the IIR-QR adaptive filte...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 46; H. 9; S. 2562 - 2565
Hauptverfasser:	Harteneck, M., Stewart, R.W.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.09.1998 Institute of Electrical and Electronics Engineers
Schlagworte:	Adaptive filters Applied sciences Computational complexity Computational modeling Convergence Detection, estimation, filtering, equalization, prediction Exact sciences and technology Filtering IIR filters Information, signal and communications theory Iterative algorithms Iterative methods Matrix decomposition Signal and communications theory Signal, noise Stability Telecommunications and information theory Infinite impulse response filter Linear regression Matrix calculus Signal processing Adaptive filter Computational complexity Recursive filtering
ISSN:	1053-587X
Online-Zugang:	Volltext
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