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The instrumental variable multichannel FAP-RLS and fap algorithms

Authors: M. Triki; D.T.M. Slock;

The instrumental variable multichannel FAP-RLS and fap algorithms

Abstract

The LMS and affine projection algorithms (APA) and its fast version (FAP) may suffer convergence slowdown in the presence of strong correlation between the input samples (colored input signals). In the case multichannel adaptive filtering, this problem may be compounded by strong correlation between the channel signals. Recently, improved multichannel APA's have been introduced (without a FAP counterpart), involving decorrelation operations between the channels. We show a connection between the improved APA and a certain choice of instrumental variable (IV) in an IV version of multichannel APA. There is also a connection to fast Newton transversal filters (FNTF's). We suggest a particular choice for the IV that will make fast multichannel IV APA possible and derive multichannel IV FAPs for the case of IVs with the usual shift-invariance structure. Whereas we have introduced a single channel IV FAP before, based on the fast transversal filter (FTF) algorithm, we propose here a multichannel IV FAP based on the numerically more robust RLS algorithm.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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