Nonlinear adaptive recursive filtering using gradient-based algorithms

Author

Huakui, Wang ; Liyi, Zhang ; Ruilian, Li

Author_Institution

Dept. of Electron. & Inf. Eng., Taiyua Univ. of Technol., Shanxi, China

fYear

1998

fDate

1998

Firstpage

126

Abstract

This paper presents a nonlinear adaptive recursive digital filter in which an adaptively adjustable nonlinear function is placed at the output of a linear recursive filter. Adaptive algorithms are based on a gradient search technique for updating coefficients of the filter and parameters of the nonlinear function. The filter is stable in the sense that the filter output is always bounded with bounded input signals, and it does not need stability monitoring in the adaptive process. Computer simulations confirm the validity of the derived results

Keywords

adaptive filters; adaptive signal processing; filtering theory; gradient methods; nonlinear filters; recursive filters; search problems; adaptive algorithms; adaptive filtering; computer simulations; gradient search technique; gradient-based algorithms; nonlinear filtering; recursive filtering; stability; Adaptive algorithm; Adaptive filters; Computerized monitoring; Digital filters; Filtering algorithms; Finite impulse response filter; IIR filters; Nonlinear filters; Stability; Transversal filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4325-5

Type

conf

DOI

10.1109/ICOSP.1998.770167

Filename

770167