Title :
Hardware implementation of fuzzy filtering
Author :
Yamakawa, Takeshi ; Uchino, Eiji ; Miki, Tsutomu ; Nakamura, Shin
Author_Institution :
Kyushu Inst. of Technol., Fukuoka, Japan
Abstract :
The authors describe a simple interpolation algorithm for noisy signal data using fuzzy inference and its hardware implementation. Concretely, keeping in mind that even if the signal data are disturbed by noise, a rough sketch of the true signal pattern can be generally made, an interpolation algorithm based on fuzzy logic is proposed. It results eventually in the reduction of noise in the signal data with no knowledge of its dynamics. The effectiveness of the method was verified by computer simulations, and the method was implemented by a hybrid electronic circuit on a breadboard
Keywords :
digital filters; filtering and prediction theory; fuzzy logic; inference mechanisms; interpolation; breadboard; fuzzy filtering; fuzzy inference; fuzzy logic; hardware implementation; hybrid electronic circuit; interpolation; noise reduction; noisy signal data; Additive noise; Circuit noise; Electronic circuits; Filtering; Fuzzy logic; Hardware; Inference algorithms; Interpolation; Noise reduction; Signal to noise ratio;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327524
