DocumentCode :
540062
Title :
Performance analysis of normalized update algorithm for adaptive digital notch filter
Author :
Nishimura, Shotaro ; Okutani, Akira ; Kim, Jeong Kuk ; Hirano, Kotaro
fYear :
1990
fDate :
9-11 Aug. 1990
Firstpage :
248
Lastpage :
251
Abstract :
Methods of analyzing the convergence and steady-state characteristics of an adaptive notch filter whose coefficient is estimated by a normalized gradient algorithm are presented. The adaptive detection of a sinusoid with white Gaussian noise is investigated. An expression for the necessary iterations of convergence is derived. The basic idea is the integration of the inverse of the average step size for the coefficient update algorithm. Closed-form expressions for the steady-state mean square error of the variable coefficient are obtained. The results of computer simulations are presented to substantiate the analysis
Keywords :
adaptive filters; digital filters; iterative methods; notch filters; white noise; adaptive detection; adaptive digital notch filter; closed form expressions; coefficient update algorithm; convergence; iterations; normalized gradient algorithm; normalized update algorithm; performance analysis; steady-state characteristics; steady-state mean square error; white Gaussian noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Engineering, 1990., IEEE International Conference on
Conference_Location :
Pittsburgh, PA, USA
Print_ISBN :
0-7803-0173-0
Type :
conf
DOI :
10.1109/ICSYSE.1990.203144
Filename :
5725676
Link To Document :
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