Designs of new smoothers for stationary systems and their implementations to third order electric circuit

Author

Sugisaka, M. ; Kumashiro, M. ; Mastuo, T.

Author_Institution

Fac. of Eng., Oita Univ., Japan

fYear

1992

fDate

17-19 Sep 1992

Firstpage

91

Lastpage

93

Abstract

A smoothing technology that is able to estimate original stationary signals or states of systems more accurately from the measured noisy signals or states based on a filtering process that is considered as an inverse system in the noisy environment is described. The noise treated is white Gaussian. The signals are various artificial voices, types of music, and moving pictures in robots. The part of the software that will be implemented in a special device is introduced, and results obtained are shown, including an explanation of a method of how to implement smoothing technologies by artificial neural networks or neurochips

Keywords

neural nets; passive filters; signal processing; smoothing circuits; state estimation; artificial neural networks; inverse system; neurochips; noisy environment; passive filters; signal estimation; signal processing; smoothers; state estimation; stationary systems; third order electric circuit; white Gaussian noise; Artificial neural networks; Filtering; Gaussian noise; Multiple signal classification; Robots; Signal processing; Smoothing methods; State estimation; White noise; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Engineering, 1992., IEEE International Conference on

Conference_Location

Kobe

Print_ISBN

0-7803-0734-8

Type

conf

DOI

10.1109/ICSYSE.1992.236935

Filename

236935