An expert system for nonlinear filtering

• Published in: 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation Vol. 3; pp. 2137 - 2141 vol.3
• Main Author: Doroodchi, M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 1997
• Subjects: Biomedical signal processing; Data mining; Expert systems; Filtering; Finite impulse response filter; Image edge detection; Image processing; Nonlinear filters; Signal processing; Statistics
• ISBN: 0780340531; 9780780340534
• ISSN: 1062-922X; 2577-1655
• DOI: 10.1109/ICSMC.1997.635181

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.