Inverse Tangent Based Algorithm for Constrained Adaptive IIR Notch Filter

Author

Punchalard, Rachu ; Koseeyaporn, Jeerasuda ; Wardkein, Paramote

Author_Institution

Telecommun. Eng. Dept., Mahanakorn Univ. of Technol., Bangkok

fYear

2006

fDate

14-17 Nov. 2006

Firstpage

1

Lastpage

4

Abstract

The new inverse tangent based adaptive algorithm for a second-order constrained adaptive IIR notch filter is presented in this paper. The proposed algorithm employs the ratio of output to input signals as an error criterion where the inverse tangent value of the ratio is used to adapt the filter parameter. It is found that the proposed algorithm provides not only high speed convergence but also high impulse noise robustness. The simulation results confirm that the performance of the proposed algorithm has been improved over the conventional gradient based technique

Keywords

IIR filters; adaptive filters; convergence of numerical methods; gradient methods; impulse noise; notch filters; adaptive algorithm; gradient method; high impulse noise; high speed convergence; inverse tangent; second-order constrained adaptive IIR notch filter; Adaptive algorithm; Adaptive control; Adaptive filters; Convergence; Finite impulse response filter; Frequency estimation; IIR filters; Noise robustness; Programmable control; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2006. 2006 IEEE Region 10 Conference

Conference_Location

Hong Kong

Print_ISBN

1-4244-0548-3

Electronic_ISBN

1-4244-0549-1

Type

conf

DOI

10.1109/TENCON.2006.343988

Filename

4142180