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Sinopsis
The applications of digitally modulated signals are still in progress and expansion. Automatic Modulation Identification (AMI) is important to classify the digitally modulated signals of arbitrary modulation schemes. AMI is crucial in military applications, like electronic surveillance, and interference recognition. In civil applications, AMI can be employed in Software Defined Radio (SDR), signal monitoring, intelligent modems, Cognitive Radio (CR), etc. This book therefore, provides a new metric of success for classification of the digitally modulated signals: Multi-user Chirp Spread Spectrum (CSS), 2FSK, 4FSK, 8FSK, 2PSK, 4PSK, 8PSK, 16QAM, 32QAM, 64QAM, 128QAM, and 256QAM signals, using MATLAB. The analysis should help shed some light on digitally modulated signals, adaptive neural fuzzy inference system (ANFIS), wavelet transform, high order statistics, signals classification approaches, and should be especially useful to professionals in communications and the newcomers to this field to determine the ability and limitation associated with the ANFIS based digitally modulated signal classification.
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Reseña del editor
The applications of digitally modulated signals are still in progress and expansion. Automatic Modulation Identification (AMI) is important to classify the digitally modulated signals of arbitrary modulation schemes. AMI is crucial in military applications, like electronic surveillance, and interference recognition. In civil applications, AMI can be employed in Software Defined Radio (SDR), signal monitoring, intelligent modems, Cognitive Radio (CR), etc. This book therefore, provides a new metric of success for classification of the digitally modulated signals: Multi-user Chirp Spread Spectrum (CSS), 2FSK, 4FSK, 8FSK, 2PSK, 4PSK, 8PSK, 16QAM, 32QAM, 64QAM, 128QAM, and 256QAM signals, using MATLAB. The analysis should help shed some light on digitally modulated signals, adaptive neural fuzzy inference system (ANFIS), wavelet transform, high order statistics, signals classification approaches, and should be especially useful to professionals in communications and the newcomers to this field to determine the ability and limitation associated with the ANFIS based digitally modulated signal classification.
Biografía del autor
Hadi A. Hamed received the B.S in electrical engineering, Msc, Ph.D degrees in communication engineering from the University of Technology, Baghdad, in 1977, 2005, and 2017, respectively. He is a member of IEEE, and has altogether 9 international/ national journals/ conference,and author of chapter in a book published by CRC Press Taylor & Francis.
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ANFIS Technique for Identification of Digitally Modulated Signals
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Scholars' Press Aug 2017, 2017
ISBN 10: 6202300523
ISBN 13: 9786202300520
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The applications of digitally modulated signals are still in progress and expansion. Automatic Modulation Identification (AMI) is important to classify the digitally modulated signals of arbitrary modulation schemes. AMI is crucial in military applications, like electronic surveillance, and interference recognition. In civil applications, AMI can be employed in Software Defined Radio (SDR), signal monitoring, intelligent modems, Cognitive Radio (CR), etc. This book therefore, provides a new metric of success for classification of the digitally modulated signals: Multi-user Chirp Spread Spectrum (CSS), 2FSK, 4FSK, 8FSK, 2PSK, 4PSK, 8PSK, 16QAM, 32QAM, 64QAM, 128QAM, and 256QAM signals, using MATLAB. The analysis should help shed some light on digitally modulated signals, adaptive neural fuzzy inference system (ANFIS), wavelet transform, high order statistics, signals classification approaches, and should be especially useful to professionals in communications and the newcomers to this field to determine the ability and limitation associated with the ANFIS based digitally modulated signal classification. 196 pp. Englisch. Nº de ref. del artículo: 9786202300520
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ANFIS Technique for Identification of Digitally Modulated Signals
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hamed Hadi A.Hadi A. Hamed received the B.S in electrical engineering, Msc, Ph.D degrees in communication engineering from the University of Technology, Baghdad, in 1977, 2005, and 2017, respectively. He is a member of IEEE, and has . Nº de ref. del artículo: 169012629
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ANFIS Technique for Identification of Digitally Modulated Signals : Using MATLAB
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The applications of digitally modulated signals are still in progress and expansion. Automatic Modulation Identification (AMI) is important to classify the digitally modulated signals of arbitrary modulation schemes. AMI is crucial in military applications, like electronic surveillance, and interference recognition. In civil applications, AMI can be employed in Software Defined Radio (SDR), signal monitoring, intelligent modems, Cognitive Radio (CR), etc. This book therefore, provides a new metric of success for classification of the digitally modulated signals: Multi-user Chirp Spread Spectrum (CSS), 2FSK, 4FSK, 8FSK, 2PSK, 4PSK, 8PSK, 16QAM, 32QAM, 64QAM, 128QAM, and 256QAM signals, using MATLAB. The analysis should help shed some light on digitally modulated signals, adaptive neural fuzzy inference system (ANFIS), wavelet transform, high order statistics, signals classification approaches, and should be especially useful to professionals in communications and the newcomers to this field to determine the ability and limitation associated with the ANFIS based digitally modulated signal classification. Nº de ref. del artículo: 9786202300520
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ANFIS Technique for Identification of Digitally Modulated Signals: Using MATLAB
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ANFIS Technique for Identification of Digitally Modulated Signals: Using MATLAB
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ANFIS Technique for Identification of Digitally Modulated Signals
Publicado por
Scholars' Press Aug 2017, 2017
ISBN 10: 6202300523
ISBN 13: 9786202300520
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The applications of digitally modulated signals are still in progress and expansion. Automatic Modulation Identification (AMI) is important to classify the digitally modulated signals of arbitrary modulation schemes. AMI is crucial in military applications, like electronic surveillance, and interference recognition. In civil applications, AMI can be employed in Software Defined Radio (SDR), signal monitoring, intelligent modems, Cognitive Radio (CR), etc. This book therefore, provides a new metric of success for classification of the digitally modulated signals: Multi-user Chirp Spread Spectrum (CSS), 2FSK, 4FSK, 8FSK, 2PSK, 4PSK, 8PSK, 16QAM, 32QAM, 64QAM, 128QAM, and 256QAM signals, using MATLAB. The analysis should help shed some light on digitally modulated signals, adaptive neural fuzzy inference system (ANFIS), wavelet transform, high order statistics, signals classification approaches, and should be especially useful to professionals in communications and the newcomers to this field to determine the ability and limitation associated with the ANFIS based digitally modulated signal classification.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 196 pp. Englisch. Nº de ref. del artículo: 9786202300520
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ANFIS Technique for Identification of Digitally Modulated Signals: Using MATLAB
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Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18394700591
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ANFIS Technique for Identification of Digitally Modulated Signals: Using MATLAB
Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. 196 pages. 8.66x5.91x0.45 inches. In Stock. Nº de ref. del artículo: zk6202300523
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