A design for variable fractional delay FIR filters

Author

Li, Xiaodong ; Zhao, Hui ; Li, Mingyu ; Yu, Juebang

Author_Institution

Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

2

fYear

2004

Firstpage

1131

Abstract

The paper proposes a neural network method to design variable fractional delay finite impulse response filters. This design is achieved by choosing a continuous Hopfield neural network (CHNN) model and establishing the relation between the MSE criterion and the Lyapunov energy function. In an illustrative design example, the proposed method has improved the filter performance with slightly increased computation cost, as compared with a weighted least-squares design method.

Keywords

FIR filters; Hopfield neural nets; Lyapunov methods; delay filters; digital filters; filtering theory; signal processing; Lyapunov energy function; MSE criterion; computation cost; continuous Hopfield neural network; digital filters; finite impulse response filters; signal processing; variable fractional delay FIR filters; variable fractional delay filters; weighted least-squares design method; Delay effects; Delay estimation; Design methodology; Digital filters; Finite impulse response filter; Frequency response; Function approximation; Hopfield neural networks; Neural networks; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on

Print_ISBN

0-7803-8647-7

Type

conf

DOI

10.1109/ICCCAS.2004.1346375

Filename

1346375