ANFIS Technique for Identification of Digitally Modulated Signals: Using MATLAB - Couverture souple

Hamed, Hadi A.; Sadkhan, Sattar B.; Hameed, Ashwaq Q.

 
9786202300520: ANFIS Technique for Identification of Digitally Modulated Signals: Using MATLAB
Couverture souple
ISBN 10 : 6202300523 ISBN 13 : 9786202300520
Editeur : Scholars' Press, 2017

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Scholars' Press
Date d'édition
2017
Langue
anglais
ISBN 10 
6202300523
ISBN 13 
9786202300520
Reliure
Broché
Nombre de pages
196
Coordonnées du fabricant
non disponible
Personne responsable
non disponible