A stable fast affine projection adaptation algorithm suitable for low-cost processors

Author

Ding, Heping

Author_Institution

Network Edge Technol., Nortel Networks, Ottawa, Ont., Canada

Volume

1

fYear

2000

fDate

2000

Firstpage

360

Abstract

The fast affine projection (FAP) adaptation algorithm possesses a superior convergence property, but most of its implementations so far suffer from instability resulting from error propagation and accumulation in a matrix inversion process. A stable yet simple FAP algorithm is proposed, where the matrix inversion is performed based on an optimization scheme in the field of non-linear programming. Proven to be stable and immune to numerical errors, the new algorithm is suitable for a wide range of voice applications

Keywords

adaptive signal processing; matrix inversion; nonlinear programming; numerical stability; speech processing; adaptive filtering; convergence property; error accumulation; error propagation; instability; low-cost processors; matrix inversion; nonlinear programming; optimization; stable fast affine projection adaptation algorithm; voice applications; Adaptive equalizers; Adaptive filters; Digital signal processing; Echo cancellers; Financial advantage program; Horses; Noise cancellation; Sampling methods; Signal processing algorithms; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.861975

Filename

861975