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

fYear

1990

fDate

12-14 Aug 1990

Firstpage

560

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on

Conference_Location

Calgary, Alta.

Print_ISBN

0-7803-0081-5

Type

conf

DOI

10.1109/MWSCAS.1990.140780

Filename

140780