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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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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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: 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. Codice articolo 9786202300520
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Da: moluna, Greven, Germania
Condizione: 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 . Codice articolo 169012629
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: 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. Codice articolo 9786202300520
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Da: Books Puddle, Woodside, NY, U.S.A.
Condizione: New. Codice articolo 26394700581
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand. Codice articolo 401676538
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. ANFIS Technique for Identification of Digitally Modulated Signals | Using MATLAB | Hadi A. Hamed (u. a.) | Taschenbuch | Englisch | 2017 | Scholars' Press | EAN 9786202300520 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 113379993
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Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND. Codice articolo 18394700591
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: 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. Codice articolo 9786202300520
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 196 pages. 8.66x5.91x0.45 inches. In Stock. Codice articolo zk6202300523
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