Title :
Convergence analysis of adaptive bandpass/notch filters with colored noisy signal
Author :
Nishimura, Shotaro ; Nakamine, Masayuki ; Kim, Jeong Kuk ; Hirano, Kotaro
Author_Institution :
Kobe Univ., Japan
Abstract :
A method to obtain the convergence speed of adaptive bandpass/notch filters is proposed. The basic idea is the integration of the average step size for a coefficient update algorithm. The adaptive detection of a sinusoid with additive Gaussian noise has been investigated. It is shown that for white Gaussian noise, the convergence speed of bandpass and notch filters is the same and does not depend on the variance of input additive noise. The effects of the colored Gaussian noise is also presented. The results of computer simulation are shown, confirming the theoretical prediction
Keywords :
adaptive filters; band-pass filters; convergence; digital simulation; filtering and prediction theory; notch filters; white noise; adaptive bandpass/notch filters; average step size; coefficient update algorithm; colored noisy signal; computer simulation; convergence speed; white Gaussian noise; Adaptive filters; Additive noise; Band pass filters; Colored noise; Convergence; Finite impulse response filter; Frequency; Gaussian noise; IIR filters; Signal analysis;
Conference_Titel :
Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-0081-5
DOI :
10.1109/MWSCAS.1990.140780