Orthogonalized algorithms for FIR ANC adaptive systems

Author

Tapia-Sanchez, Daniel ; Bello, Rogelio Bustamente ; Perez-Meana, HBctor ; Nakano-Miyatake, Mariko

Author_Institution

SEPI ESIME, Mexico Nat. Polytech Inst., Mexico City, Mexico

Volume

1

fYear

2003

fDate

9-12 Sept. 2003

Firstpage

337

Abstract

Active noise cancellation algorithms (ANC) based on modification of filtered-x least mean squares (FxLMS) and filtered-x recursive least squares (FxRLS) algorithms are proposed, which are a direct consequence of using an orthogonal transform for decomposing the filter input into a number of finite and mutually near orthogonal signal components. The most important advantage of this approach is that it admits processing schemes in which each signal component can be independently processed. Computer simulation results are given to show the desirable features of proposed schemes.

Keywords

FIR filters; adaptive filters; adaptive signal processing; filtering theory; interference suppression; least mean squares methods; recursive filters; active noise cancellation algorithms; adaptive systems; filter decomposition; filtered-x least mean squares; filtered-x recursive least squares; finite impulse response filter; orthogonal transform; orthogonalized algorithms; Acoustic noise; Active noise reduction; Adaptive filters; Adaptive systems; Finite impulse response filter; Least squares approximation; Noise cancellation; Signal processing algorithms; Transversal filters; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Antenna Theory and Techniques, 2003. 4th International Conference on

Print_ISBN

0-7803-7881-4

Type

conf

DOI

10.1109/ICATT.2003.1239223

Filename

1239223