On the Use of Lyapunov Functions for the Design of Complex FIR Digital Filters

Author

Jou, Yue-Dar ; Chen, Fu-Kun

Author_Institution

Dept. of Comput. & Inf. Sci., R.O.C. Mil. Acad., Kaohsiung

fYear

2006

fDate

4-7 Dec. 2006

Firstpage

740

Lastpage

743

Abstract

In this paper, a neural network based approach is extended to the design of arbitrary complex FIR filters. The minimization of difference between the frequency responses of desired FIR filter and the designed one is formulated as Lyapunov energy function. The filter coefficients can be therefore obtained by using a set of dynamic non-linear equations. As compared to linear algebra based approaches, such neural networks possess the advantages of inherent parallelism, realtime processing, high computational capability and ease of hardware implementation

Keywords

FIR filters; Lyapunov methods; circuit CAD; minimisation; neural nets; nonlinear equations; real-time systems; Lyapunov energy function; complex FIR digital filters; dynamic nonlinear equations; hardware implementation; high computational capability; minimization; neural network; realtime processing; Computer networks; Concurrent computing; Digital filters; Finite impulse response filter; Frequency; Linear algebra; Lyapunov method; Neural networks; Nonlinear equations; Parallel processing; FIR filters; Lyapunov; neural network; real-time;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on

Conference_Location

Singapore

Print_ISBN

1-4244-0387-1

Type

conf

DOI

10.1109/APCCAS.2006.342114

Filename

4145499