Variable step-size modified MNG algorithm for adaptive IIR notch filter for detection of sinusoids

Author

Wattanaluk, P. ; Nakasuwa, J. ; Benjangkaprasert, C. ; Sangaroon, O. ; Janchitrapongvej, K.

Author_Institution

Dept. of Inf. Eng., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok, Thailand

fYear

2005

fDate

13-16 Dec. 2005

Firstpage

245

Lastpage

248

Abstract

In this paper proposes an addition of a variable step-size modified memoryless nonlinear gradient (MNG) algorithm for a second-order adaptive IIR notch filter for detection of sinusoids in noise environment. The structure of the adaptive IIR notch filter is based on direct form structure and lattice form structure. The objective of variable step-size (VSS) algorithm is to optimize the filter coefficient. The computer simulation results are shown that the proposed algorithm provides fast convergence speed, low mean square error, low variance of filter coefficients and high impulsive noise robustness.

Keywords

IIR filters; adaptive filters; gradient methods; notch filters; adaptive IIR notch filter; memoryless nonlinear gradient; second-order filter; sinusoids detection; variable step-size modified algorithm; Adaptive algorithm; Adaptive filters; Computer simulation; Convergence; Finite impulse response filter; IIR filters; Lattices; Mean square error methods; Signal processing algorithms; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems, 2005. ISPACS 2005. Proceedings of 2005 International Symposium on

Print_ISBN

0-7803-9266-3

Type

conf

DOI

10.1109/ISPACS.2005.1595392

Filename

1595392