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Book synopsis

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 classifiersLists detailed implementation for each algorithm based on a unified theoretical background and a comprehensive theoretical and numerical performance comparisonGives clear guidance for the design of specific automatic modulation classifiers for different practical applications in both civilian and military communication systemsIncludes a MATLAB toolbox on a companion website offering the implementation of a selection of methods discussed in the book

Book details

Book category Books in English Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Full title: Automatic Modulation Classification - Principles, Algorithms and Applications
• Author: Asoke Kumar Nandi, Zhechen Zhu
• Language: English
• Binding: Hardback
• Number of pages: 184
• EAN: 9781118906491
• ISBN: 1118906497
• ID: 04953012
• Publisher: John Wiley & Sons Inc
• Weight: 456 g
• Dimensions: 177 × 250 × 15 mm
• Date of publishing: 06. February 2015

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