Title :
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
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;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236935
