Title :
An expert system for nonlinear filtering
Author :
Doroodchi, Mahmood
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA
Abstract :
Expert systems have been introduced into many different areas of engineering. The demand for introducing the human knowledge in solving complicated problems of signal and image processing, such as nonlinear filtering, has also been increased recently. This paper presents a viable solution to the problem of filtering in signal and image processing and analysis by building a knowledge-based expert system. This system takes into account the parameters specified by the user, the input data, and the extracted measurements to find the best output
Keywords :
filtering theory; intelligent design assistants; nonlinear filters; signal processing; expert system; image processing; knowledge-based system; nonlinear filtering; output signal selection; signal processing; Biomedical signal processing; Data mining; Expert systems; Filtering; Finite impulse response filter; Image edge detection; Image processing; Nonlinear filters; Signal processing; Statistics;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.635181
