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Title: Measuring and maintaining consistency: A hybrid FTF algorithm

Creator:

Bunch, James R. ; Le Borne, Richard C. ; Proudler, Ian K.

Date:

2001

Resource Type:

artykuł

Contributor:

Campbell, Stephen L. - ed.

Subtitle:

Numerical Analysis and Systems Theory

Group publication title:

AMCS, volume 11 (2001)

Abstract:

Due to the versatility as well as its ease of implementation, the Fast Transversal Filters algorithm is attractive for many adaptive filtering applications. However, it is not widely used because of its undesirable tendency to diverge when operating in finite precision arithmetic. To compensate, modifications to the algorithm have been introduced that are either occasional (performed when a predefined condition(s) is violated) or structured as part of the normal update iteration. ; However, in neither case is any confidence explicitly given that the computed parameters are in fact close to the desired ones. Here, we introduce a time invariant parameter that provides the user with more exibility in establishing confidence in the consistency of the updated filter parameters. Additionally, we provide evidence through the introduction of a hybrid FTF algorithm that when sufficient time is given prior to catastrophic divergence, the update parameters of the FTF algorithm can be adjusted so that consistency can be acquired and maintained.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:58809

Pages:

1203-1216

Source:

AMCS, volume 11, number 5 (2001) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

FTF numerical stability consistency

Object collections:

Last modified:

Sep 3, 2021

In our library since:

Jul 22, 2021

Number of object content hits:

83

All available object's versions:

https://zbc.uz.zgora.pl/publication/65594

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Measuring and maintaining consistency: A hybrid FTF algorithm Sep 3, 2021

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