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Automatic Modulation Classification


Automatic Modulation Classification
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Automatic Modulation Classification


Automatic Modulation Classification
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Author : Zhechen Zhu
language : en
Publisher: John Wiley & Sons
Release Date : 2015-02-16

Automatic Modulation Classification written by Zhechen Zhu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-16 with Technology & Engineering categories.


Automatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades. In military and security applications, modulation often serves as another level of encryption; in modern civilian applications, multiple modulation types can be employed by a signal transmitter to control the data rate and link reliability. This book offers comprehensive documentation of AMC models, algorithms and implementations for successful modulation recognition. It provides an invaluable theoretical and numerical comparison of AMC algorithms, as well as guidance on state-of-the-art classification designs with specific military and civilian applications in mind. Key Features: Provides an important collection of AMC algorithms in five major categories, from likelihood-based classifiers and distribution-test-based classifiers to feature-based classifiers, machine learning assisted classifiers and blind modulation classifiers Lists detailed implementation for each algorithm based on a unified theoretical background and a comprehensive theoretical and numerical performance comparison Gives clear guidance for the design of specific automatic modulation classifiers for different practical applications in both civilian and military communication systems Includes a MATLAB toolbox on a companion website offering the implementation of a selection of methods discussed in the book



Automatic Modulation Classification


Automatic Modulation Classification
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Author : Zhechen Zhu
language : en
Publisher:
Release Date : 2014

Automatic Modulation Classification written by Zhechen Zhu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Modulation (Electronics) categories.




Amc2n Automatic Modulation Classification Using Feature Clustering Based Two Lane Capsule Networks


Amc2n Automatic Modulation Classification Using Feature Clustering Based Two Lane Capsule Networks
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Author : Dhamyaa H. Al‑Nuaimi
language : en
Publisher: Infinite Study
Release Date :

Amc2n Automatic Modulation Classification Using Feature Clustering Based Two Lane Capsule Networks written by Dhamyaa H. Al‑Nuaimi and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


This study proves that the AMC2N outperforms existing methods, particularly, convolutional neural network(CNN), Robust‑CNN (R‑CNN), curriculum learning(CL), and Local Binary Pattern (LBP), in terms of accuracy, precision, recall, F‑score, and computation time. All metrics are validated in two scenarios, and the proposed method shows promising results in both.



Automatic Modulation Classification In Mobile Ofdm Systems With Adaptive Modulation


Automatic Modulation Classification In Mobile Ofdm Systems With Adaptive Modulation
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Author : Yun Chen
language : en
Publisher:
Release Date : 2013

Automatic Modulation Classification In Mobile Ofdm Systems With Adaptive Modulation written by Yun Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Adaptive signal processing categories.




Automatic Modulation Recognition Of Communication Signals


Automatic Modulation Recognition Of Communication Signals
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Author : Elsayed Azzouz
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17

Automatic Modulation Recognition Of Communication Signals written by Elsayed Azzouz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Science categories.


Automatic modulation recognition is a rapidly evolving area of signal analysis. In recent years, interest from the academic and military research institutes has focused around the research and development of modulation recognition algorithms. Any communication intelligence (COMINT) system comprises three main blocks: receiver front-end, modulation recogniser and output stage. Considerable work has been done in the area of receiver front-ends. The work at the output stage is concerned with information extraction, recording and exploitation and begins with signal demodulation, that requires accurate knowledge about the signal modulation type. There are, however, two main reasons for knowing the current modulation type of a signal; to preserve the signal information content and to decide upon the suitable counter action, such as jamming. Automatic Modulation Recognition of Communications Signals describes in depth this modulation recognition process. Drawing on several years of research, the authors provide a critical review of automatic modulation recognition. This includes techniques for recognising digitally modulated signals. The book also gives comprehensive treatment of using artificial neural networks for recognising modulation types. Automatic Modulation Recognition of Communications Signals is the first comprehensive book on automatic modulation recognition. It is essential reading for researchers and practising engineers in the field. It is also a valuable text for an advanced course on the subject.



2021 55th Annual Conference On Information Sciences And Systems Ciss


2021 55th Annual Conference On Information Sciences And Systems Ciss
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2021-03-24

2021 55th Annual Conference On Information Sciences And Systems Ciss written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-24 with categories.


The scope of the conference is broad Research in a wide variety of disciplines relating to the use and science of information is of interest



2021 5th International Conference On Computer Communication And Signal Processing Icccsp


2021 5th International Conference On Computer Communication And Signal Processing Icccsp
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Author :
language : en
Publisher:
Release Date : 2021

2021 5th International Conference On Computer Communication And Signal Processing Icccsp written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.




2021 International Joint Conference On Neural Networks Ijcnn


2021 International Joint Conference On Neural Networks Ijcnn
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2021-07-18

2021 International Joint Conference On Neural Networks Ijcnn written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-18 with categories.


JCNN is the premier international conference on neural networks theory, analysis, and a wide range of applications IJCNN 2021 is a truly interdisciplinary event with a broad range of contributions on recent advances in neural networks, including neuroscience and cognitive science, computational intelligence and machine learning, hybrid techniques, nonlinear dynamics and chaos, various soft computing technologies, bioinformatics and biomedicine, and engineering applications



Machine Learning For Future Wireless Communications


Machine Learning For Future Wireless Communications
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Author : Fa-Long Luo
language : en
Publisher: John Wiley & Sons
Release Date : 2020-02-10

Machine Learning For Future Wireless Communications written by Fa-Long Luo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-10 with Technology & Engineering categories.


A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.



Engineering Applications Of Neural Networks


Engineering Applications Of Neural Networks
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Author : John Macintyre
language : en
Publisher: Springer
Release Date : 2019-05-14

Engineering Applications Of Neural Networks written by John Macintyre and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-14 with Computers categories.


This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop.