Title :
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
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;
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
DOI :
10.1109/APCCAS.1998.743766