Fuzzy logic rule - based interpolation algoritm for sampled signal

SUMMARY Today's developing technologies can no more get enough benefit and output from traditional electronic control units. Increase in more sensitive and complex units in daily basis and inevitable obligation for conservation of energy compelled the scientists to do research in that direction. Increasing demand for coming close to perfection and work for may be one day to create something as identical as of nature caused to have introduced artificial intelligence, neural networks, multiple valued logic and nevertheless fuzzy logic. The fuzzy logic is mathematical discipline that we use everyday life and provide us to reach the state of interpreting our behaviours. The fundamental of fuzzy logic is constituted of fuzzy set theory which is determined by true or false values. Here, as in traditional logic, there are one (1) and zero (0) values. However, fuzzy logic not only will satisfy with these values, but also it uses the interval values in between of those; for example, it does not only tell that the distance is far or near, but also says how near or how far it is. In this study, in order to reconstruct the signal of which sampled values were damaged by noise or other reason during transmitting or storing, an interpolation method which is based on fuzzy logic has been developed. The results were found for each noise-free and global noisy signals which their sampled values are chosen in a certain way and the estimation performance of vanishing sampled values was determined. Key Words: Fuzzy Logic, Fuzzy Set, Electronic Control Unit, Artificial Intelligence, Multiple Valued Logic, Neural Network, Interpolation. VI