Title :
A new class of gradient-based algorithm by using variable step-size technique
Author :
Phuvasitkul, Sittisak ; Benjangkaprasert, Chawalit ; Anantrasirichai, Noppin
Author_Institution :
Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Abstract :
This paper presents a new class of gradient-based algorithm for second-order IIR adaptive notch filters (ANF); the algorithm is based on least mean p-power (LMP) error criterion. The variable step-size technique is used to detect high convergence speed and high impulse noise robustness. It is proved here that the proposed algorithm has good properties in both cases, when compared with the previous one (Punchalard et al. 2000). Simulation results are presented to demonstrate the effectiveness of the proposed algorithm.
Keywords :
IIR filters; adaptive filters; convergence of numerical methods; gradient methods; impulse noise; least mean squares methods; notch filters; ANF; convergence speed; gradient-based algorithm; impulse noise; least mean p-power error criterion; second-order IIR adaptive notch filter; variable step-size technique; Adaptive algorithm; Adaptive filters; Convergence; Frequency estimation; IIR filters; Noise robustness; Power engineering and energy; Signal to noise ratio; Transfer functions; White noise;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180990
