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research article
Extended fast fixed order RLS adaptive filters
The existing derivations of conventional fast RLS adaptive filters are intrinsically dependent on the shift structure in the input regression vectors. This structure arises when a tapped-delay line (FIR) filter is used as a modeling filter. We show, unlike what original derivations may suggest, that fast fixed-order RLS adaptive algorithms are not limited to FIR filter structures. We show that fast recursions in both explicit and array forms exist for more general data structures, such as orthonormally based models. One of the benefits of working with orthonormal bases is that fewer parameters can be used to model long impulse responses.
Type
research article
Authors
Publication date
2001
Publisher
Published in
Volume
49
Issue
12
Start page
3015
End page
3031
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
December 19, 2017
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