Simplify adaptive IIR notch filter based on least mean p-power error criterion

Author

Chumchu, Prawit ; Punchalard, Rachu ; Benjangkaprasert, Chawalit

Author_Institution

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

fYear

1998

fDate

24-27 Nov 1998

Firstpage

335

Lastpage

338

Abstract

In this paper, a simplify second order IIR adaptive notch (ANF) algorithm based on least mean p-power (LMP) error criterion is presented. The quantizing gradient technique is used to detect high convergence speed and high impulsive noise robustness. This algorithm reduces an amount of multiplication computational equal to the length of input data. It is proved here that the convergence speed, variance, bias and noise robustness do not depend on p values. For practical application with most desirable purposes, the value of p=1 is chosen, the results of computer simulation and application on TMS320C50 digital signal processing starter kit are given to demonstrate the convergence speed and noise robustness performance

Keywords

IIR filters; adaptive filters; impulse noise; least mean squares methods; notch filters; TMS320C50 digital signal processing starter kit; adaptive IIR notch filter; convergence speed; impulsive noise robustness; least mean p-power error criterion; multiplication computational; noise robustness; second order filter; Adaptive algorithm; Adaptive filters; Application software; Computer simulation; Convergence; Digital signal processing; IIR filters; Noise robustness; Signal processing algorithms; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1998. IEEE APCCAS 1998. The 1998 IEEE Asia-Pacific Conference on

Conference_Location

Chiangmai

Print_ISBN

0-7803-5146-0

Type

conf

DOI

10.1109/APCCAS.1998.743766

Filename

743766