[PDF] Online modulation recognition of analog communication signals using neural network | Semantic Scholar Skip to search formSkip to main content> Semantic Scholar's Logo Search Sign InCreate Free Account You are currently offline. Some features of the site may not work correctly. DOI:10.1016/j.eswa.2006.04.015 Corpus ID: 17309878Online modulation recognition of analog communication signals using neural network @article{Gldemir2007OnlineMR, title={Online modulation recognition of analog communication signals using neural network}, author={Hanifi G{\"u}ldemir and Abdulkadir Seng{\"u}r}, journal={Expert Syst. Appl.}, year={2007}, volume={33}, pages={206-214} } Hanifi Güldemir, Abdulkadir Sengür Published 2007 Computer Science Expert Syst. Appl. In this paper, a neural network based online analog modulation recognition of communication signals is presented. The proposed system can discriminate between amplitude modulation (AM), frequency modulation (FM), double sideband (DSB), upper sideband (USB), lower sideband (LSB) and continuous wave (CW) modulations. A matlab graphical user interface (GUI) is designed to see the intercepted signal, its power spectral density, frequency and modulation type on the screen of the personnel computer… Expand View via Publisher researchgate.net Save to Library Create Alert Cite Launch Research Feed Share This Paper 6 CitationsBackground Citations 1 Methods Citations 2 View All Figures, Tables, and Topics from this paper figure 1 table 1 figure 2 table 2 figure 3 table 3 figure 4 table 4 figure 5 table 5 figure 6 figure 7 figure 8 View All 13 Figures & Tables Artificial neural network Graphical user interface Spectral density Biological Neural Networks Instantaneous phase Analog signal Signal-to-noise ratio MATLAB Computer simulation Simulation Delta-sigma modulation Carrier frequency Neural Network Simulation USB Extraction DNA Breaks, Double-Stranded Hearing Loss, High-Frequency Least significant bit Control table Verification of Theories 6 Citations Citation Type Citation Type All Types Cites Results Cites Methods Cites Background Has PDF Publication Type Author More Filters More Filters Filters Sort by Relevance Sort by Most Influenced Papers Sort by Citation Count Sort by Recency Modulation recognition of RF carriers using neural networks Carmen-Silvia Oprina, Otilia Cangea, M. 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Tajul, Taufik Engineering 2009 PDF View 1 excerpt, cites methods Save Alert Research Feed ANFIS Modeling of Laser Machining Responses by Specially Developed Graphical User Interface Subramonian Sivarao Engineering 2009 6 PDF View 1 excerpt, cites background Save Alert Research Feed Sayısal modülasyonlu haberleşme işaretlerinden Wigner-Ville zaman-frekans dağılımlarına dayalı öznitelik çıkarımı Abdulkadir Şengür Art 2011 Save Alert Research Feed References SHOWING 1-10 OF 14 REFERENCES SORT BYRelevance Most Influenced Papers Recency An automatic modulation recognition algorithm for spectrum monitoring applications C. Dubuc, D. Boudreau, F. Patenaude, R. Inkol Computer Science 1999 IEEE International Conference on Communications (Cat. No. 99CH36311) 1999 34 Save Alert Research Feed A testbed for automatic modulation recognition using artificial neural networks S. C. Kremer, J. Shiels Computer Science CCECE '97. Canadian Conference on Electrical and Computer Engineering. 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