A rotation based multichannel least squares lattice algorithm for adaptive nonlinear filters

An efficient rotation based adaptive multichannel least squares lattice algorithm for multichannel filtering with different filter orders for each input channel is presented. It is shown that this algorithm is suited for adaptive nonlinear filtering based on Volterra and recursive polynomial system...

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Veröffentlicht in:IEEE International Symposium on Circuits and Systems, 1993 S. 2632 - 2635 vol.4
1. Verfasser: Yang, B.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.1993
Schlagworte:
Adaptive filters
Difference equations
Eigenvalues and eigenfunctions
Filtering
Finite impulse response filter
Lattices
Least squares methods
Nonlinear filters
Polynomials
Signal processing algorithms
ISBN:9780780312814, 0780312813
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Zusammenfassung:An efficient rotation based adaptive multichannel least squares lattice algorithm for multichannel filtering with different filter orders for each input channel is presented. It is shown that this algorithm is suited for adaptive nonlinear filtering based on Volterra and recursive polynomial system models. The new algorithm requires only orthogonal transformations offering superior numerical behavior. Its highly modular and regular structure facilitates VLSI and parallel implementations.< >
ISBN:9780780312814
0780312813
DOI:10.1109/ISCAS.1993.394306