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An educational interface for automatic recognition of analog modulated signals.
Author(s):
1. Abdul-Kadir Sengur: Department of Electronics and Computer Science, Faculty of Technical Education, Firat University, Elazing, Turkey
2. Hanifi Guldemir: Department of Electronics and Computer Science, Faculty of Technical Education, Firat University, Elazing, Turkey
Abstract:
In this study, an interface for automatic classification of the analog modulated communication signal is introduced. An educational approach is adopted here to present an interface which can be used as a tool for education and demonstrative purposes. While emphasis has been placed on the designed interface, the certain type of the analog modulated communication signals can also be recognized and visualized for the teaching of analog modulation types. The designed Graphical User Interface (GUI) is written in Matlab and can recognize Amplitude Modulation (AM), Frequency Modulation (FM) and Continuous Wave (CW) signals. A number of key features are used for characterizing analog modulation types. A Fuzzy C-means classifier is embedded into the interface. B+K Precision Model 2040 universal signal generator is used for the experimental verification. Good performance has been obtained even at low signal-to-noise ratios.
Page(s): 513-516
DOI: DOI not available
Published: Journal: Journal of Applied Sciences, Volume: 5, Issue: 3, Year: 2005
Keywords:
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