Title :
Adaptive L-filters based on a fuzzy neural network
Author :
Pi, Yiming ; Huang, Shunji
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
The adaptive L-filters based on the local statistics would improve the detail preserving ability of L-filters. But the parameters of the adaptive L-filters depend on the priori knowledge of the noise. In this letter, we introduce a fuzzy neural network to determine the parameters. Simulation results showed this new method achieved almost the same performance as the adaptive L-filter
Keywords :
adaptive filters; circuit analysis computing; feedforward neural nets; fuzzy neural nets; adaptive L-filters; detail preserving ability; fuzzy neural network; priori knowledge; simulation results; Adaptive filters; Additive white noise; Feedforward neural networks; Fuzzy neural networks; Gaussian noise; Integrated circuit noise; Neural networks; Signal processing; Statistics; Uncertainty;
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
DOI :
10.1109/ISCAS.1997.612783
