Title :
Unbiased equation error adaptive IIR notch filter
Author :
Punchalard, R. ; Lorsawatsiri, A. ; Loetwassana, W. ; Koseeyaporn, J. ; Wardkein, P. ; Roeksabutr, A.
Author_Institution :
Mahanakorn Univ. of Technol., Bangkok
fDate :
Oct. 30 2007-Nov. 2 2007
Abstract :
This paper presents the unbiased gradient algorithm for the equation error adaptive IIR notch filter (UEANF). The proposed algorithm employs the bias removal technique to remove the bias existing in the estimated parameter, resulting in obtaining good estimate of the parameter. Moreover, the convergence property is improved as compared with the conventional adaptive IIR notch filter (ANF). The computer simulations are provided to confirm the performances of the proposed technique.
Keywords :
IIR filters; adaptive filters; convergence; gradient methods; notch filters; parameter estimation; bias removal; convergence property; parameter estimation; unbiased equation error adaptive IIR notch filter; unbiased gradient algorithm; Adaptive algorithm; Adaptive filters; Convergence; Electronic mail; Equations; Finite impulse response filter; History; IIR filters; Parameter estimation; Signal processing algorithms;
Conference_Titel :
TENCON 2007 - 2007 IEEE Region 10 Conference
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-1272-3
Electronic_ISBN :
978-1-4244-1272-3
DOI :
10.1109/TENCON.2007.4429155
