We have developed a new algorithm for the characterization of microcalcification clusters. Fuzzy logic is well suited to represent and to manipulate data and knowledge at different levels of the algorithm. Our algorithm is built in 3 steps: Detection and segmentation of the individual microcalcifica
A fuzzy logic based device for the determination of temperature dependence of EDFAs
โ Scribed by H. Haldun Goktas; Murat Yucel
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 335 KB
- Volume
- 50
- Category
- Article
- ISSN
- 0895-2477
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โฆ Synopsis
Abstract
In this study, a fuzzy logic (FL)โbased device is designed, constructed, and applied to a C band (1530โ1565 nm) erbiumโdoped fiber amplifier to obtain maximum signal gain and appropriate erbiumโdoped fiber length for the temperature range between โ20 and +60ยฐC. The fuzzy rulesโwhich are embedded into the circuitโare compiled using the input variables which are, namely, the signal wavelength and the temperature, whereas the output parameters are the signal gain and the appropriate fiber length providing the maximum signal gain. The FLโbased device provides the predictions for the fiber length providing the maximum signal gain against the input signal wavelength, and the temperatures within the accuracy level of 95โ99%. ยฉ 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 2331โ2334, 2008; Published online in Wiley InterScience (www.interscience.wiley.com).DOI 10.1002/mop.23699
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