System identification based on bounded error constraints

Author

Tsakalis, Kostas ; Deisher, Michael ; Spanias, Andreas

Author_Institution

Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA

Volume

Issue

fYear

1995

fDate

12/1/1995 12:00:00 AM

Firstpage

3071

Lastpage

3075

Abstract

Examines the performance of adaptive algorithms such as gradient, dead-zone, and bounding ellipsoid in the presence of bounded disturbances. The authors begin with a simple bursting example and continue by describing the algorithms and their properties, including analytical results on their asymptotic performance. Finally, a new algorithm is proposed, providing both MSE and maximum steady-state error performance guarantees

Keywords

FIR filters; adaptive estimation; digital filters; error analysis; parameter estimation; signal processing; MSE; adaptive algorithms; asymptotic performance; bounded disturbances; bounded error constraints; bounding ellipsoid; bursting example; dead-zone algorithm; gradient algorithm; maximum steady-state error performance guarantees; system identification; Acoustic measurements; Acoustic noise; Adaptive systems; Additives; Echo cancellers; Noise cancellation; Noise measurement; Parameter estimation; Signal processing algorithms; System identification;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.476461

Filename

476461

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1096485