Analysis Of Decision Theoretic Modulation Classification Methods For Digital Communication Signals
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Analysis Of Decision Theoretic Modulation Classification Methods For Digital Communication Signals
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Author :
language : en
Publisher:
Release Date : 2004
Analysis Of Decision Theoretic Modulation Classification Methods For Digital Communication Signals written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Automated modulation classification is a fundamental requirement for electronic support measures. Existing automated classifiers use a variety of different modulation recognition techniques. This paper reviews the category of decision-theoretic approaches and discusses the relationships between decision-theoretic methods and other statistical modulation classification methods.
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.
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
Advanced Techniques For Automatic Classification Of Digitally Modulated Communication Signals
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Author : Liang Hong
language : en
Publisher:
Release Date : 2002
Advanced Techniques For Automatic Classification Of Digitally Modulated Communication Signals written by Liang Hong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Automatic classification categories.
Automatic classification of the modulation type of a received signal is an indispensable step in many communication systems. It provides necessary information for data demodulation, information extraction and signal exploitation. In recent years, modulation classification is one of the most promising research areas and has found a variety of military and commercial applications. In this research, a set of advanced techniques are proposed and investigated for automatic classification of digitally modulated signals. For inter-class classification at moderate to high signal-to-noise ratio (SNR) environment, we propose to use the wavelet transform to discriminate among quadrature amplitude modulation (QAM), phase shift keying (PSK) and frequency shift keying (FSK) signals. The wavelet transform can effectively extract the transient characteristics from different modulation types for simple identification. Then we focus on intra-class classification between binary PSK (BPSK) and quadrature PSK (QPSK) at moderate to low SNR environment. At low SNR environment, the performance of the classifier using wavelet transform degrades quickly, because the extracted features are masked by the noise and difficult to recognize. On the other hand, the decision theoretic technique that is based on likelihood function works well at all SNR environment. We developed the composite hypothesis tests to identify between BPSK and unbalanced QPSK signals, and to discriminate between BPSK and QPSK signals without prior knowledge of signal level. Furthermore, we applied the composite hypothesis testing approach to operate on antenna array outputs for the purpose of increasing the accuracy of BPSK and QPSK identification when only a short data record is available. The above decision theoretic based classifiers require some unknown parameters that must be estimated before the classification decision can be made. Hence, Cramer-Rao lower bound is derived to evaluate the performance of the proposed estimators in obtaining the unknown parameters.
Automatic Modulation Classification Of Digital Communication Signals
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Author : Qijun Xu
language : en
Publisher:
Release Date : 2001
Automatic Modulation Classification Of Digital Communication Signals written by Qijun Xu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
Chance Discoveries In Real World Decision Making
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Author : Yukio Ohsawa
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-09-06
Chance Discoveries In Real World Decision Making written by Yukio Ohsawa 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 2006-09-06 with Computers categories.
For this book, the editors invited and called for contributions from indispensable research areas relevant to "chance discovery," which has been defined as the discovery of events significant for making a decision, and studied since 2000. From respective research areas as artificial intelligence, mathematics, cognitive science, medical science, risk management, methodologies for design and communication, the invited and selected authors in this book present their particular approaches to chance discovery. The chapters here show contributions to identifying rare or hidden events and explaining their significance, predicting future trends, communications for scenario development in marketing and design, identification effects and side-effects of medicines, etc. The methods presented in this book are based on the interaction of human, machine, and human's living environment, rather than based purely automated predictions of the future. This is a promising direction of computer-supported decision of human in a radically changing environment.
Advances In Signal Processing Embedded Systems And Iot
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Author : V.V.S.S.S. Chakravarthy
language : en
Publisher: Springer Nature
Release Date : 2023-05-23
Advances In Signal Processing Embedded Systems And Iot written by V.V.S.S.S. Chakravarthy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-23 with Technology & Engineering categories.
The book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2022), held in Bheemavaram, West Godavari (Dist), Andhra Pradesh, India during 22 – 23 July 2022. The papers were written by scientists, research scholars and practitioners from leading universities, engineering colleges and R&D institutes from all over the world, and share the latest breakthroughs in and promising solutions to the most important issues facing today’s society.
Proceedings
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Author :
language : en
Publisher:
Release Date : 2001
Proceedings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Image processing categories.
Communications Signal Processing And Systems
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Author : Qilian Liang
language : en
Publisher: Springer
Release Date : 2018-06-07
Communications Signal Processing And Systems written by Qilian Liang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-07 with Technology & Engineering categories.
This book brings together papers presented at the 2017 International Conference on Communications, Signal Processing, and Systems (ICCSP 2017), which was held on July 14–17, 2017 in Harbin, China. Presenting the latest developments and discussing the interactions and links between these multidisciplinary fields, the book spans topics ranging from communications, signal processing and systems. It is aimed at undergraduate and graduate electrical engineering, computer science and mathematics students, researchers and engineers from academia and industry as well as government employees.
The Proceedings Of The Second International Conference On Communications Signal Processing And Systems
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Author : Baoju Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-28
The Proceedings Of The Second International Conference On Communications Signal Processing And Systems written by Baoju Zhang 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 2014-01-28 with Technology & Engineering categories.
The Proceedings of The Second International Conference on Communications, Signal Processing, and Systems provides the state-of-art developments of Communications, Signal Processing, and Systems. The conference covered such topics as wireless communications, networks, systems, signal processing for communications. This book is a collection of contributions coming out of The Second International Conference on Communications, Signal Processing, and Systems (CSPS) held September 2013 in Tianjin, China.