Design of 2D digital filters using BP neural networks

Author

Wang, Xiao-Hua ; He, Yi-Gang ; Li, Hong ; Peng, Yu-Lou ; Li, Mao-Jun

Author_Institution

Electri. & Inf. Eng. Coll., Changsha Univ. of Sci. & Technol., China

Volume

8

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

4684

Abstract

This paper provides a new approach for the design of 2D FIR linear-phase digital filters based on a parallel back-propagation neural-networks algorithm (PBPNNA). According to the frequency response characteristic of a 2D linear-phase FIR filter, a compact expression for the transfer function is derived, and a new PBPNNA is established for designing 2D FIR linear-phase filters. The convergence theorem is presented and proved to illustrate the stability of the PBPNNA. Design examples are also given to illustrate the effectiveness of the proposed design approach.

Keywords

FIR filters; backpropagation; convergence; electronic engineering computing; neural nets; transfer functions; 2D digital filter design; 2D linear-phase FIR filter; BP neural network; convergence theorem; frequency response characteristics; parallel back-propagation; transfer function; Algorithm design and analysis; Convergence; Design engineering; Digital filters; Finite impulse response filter; Neural networks; Nonlinear filters; Signal processing algorithms; Stability; Transfer functions; 2-D Linear-phase digital filters; back-propagation neural network; convergence theorem; stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527765

Filename

1527765