Fuzzy filtering on impulse noise
Yue Shi · Journal of Zhejiang University(Engineering Science) · 2002
Noise has an important effect on signal analysis and signal compression. Classical filters usually are confront with a difficulty extracting an optimal solution form the impulse response function. The consistency is proposed between fuzzy system and impulse response function by the paper. The result shows it is possible that a fuzzy filter for a signal system carries out a filtering process. To obtain a more effective simulation, α stable curves are substituted for Guess curves by the method of ordinal optimization so that the difficulty is overcome on extracting an optimal solution from the impulse response function. After analyzing and simulating, the conclusion is decided that the arithmetic can save the computing time and raise the efficiency.