Hardware implementation of fuzzy filtering
T. Yamakawa, E. Uchino, T. Miki, Shin Nakamura · 2002
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.>