Application of passive nonlinear network concept in digital signal processing

Author

Ramamoorthy, P.A. ; Zavaljevski, Aleksandar

Author_Institution

Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA

Volume

6

fYear

1994

fDate

30 May-2 Jun 1994

Firstpage

177

Abstract

In our work we have developed a new methodology for the design of nonlinear dynamical systems and signal processing algorithms. In this paper, we discuss the basic concept of this approach, as well as some variations of the applied model. We show the results of application of this approach in signal estimation. We also compare the obtained results with that of Kalman filtering. The results indicate that we are able, applying our new approach, to obtain with relative ease the estimators that are comparable, and sometimes even superior and more robust as compared to Kalman filtering

Keywords

estimation theory; nonlinear dynamical systems; nonlinear network synthesis; passive networks; signal processing; digital signal processing; nonlinear dynamical systems; passive nonlinear network concept; signal estimation; signal processing algorithms; Algorithm design and analysis; Differential equations; Digital signal processing; Intelligent networks; Kalman filters; Nonlinear systems; Programmable control; Signal design; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on

Conference_Location

London

Print_ISBN

0-7803-1915-X

Type

conf

DOI

10.1109/ISCAS.1994.409555

Filename

409555