Automatic Modulation Classification: Principles, Algorithms and Applications

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Zhechen Zhu and Asoke K. Nandi",
  title =        "Automatic Modulation Classification: Principles,
                 Algorithms and Applications",
  publisher =    "Wiley",
  year =         "2015",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-118-90649-1",
  URL =          "",
  size =         "184 pages",
  abstract =     "Description

                 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
  notes =        "6.7 Genetic Programming for Feature Selection and

                 6.7.1. Tree Structured Solution

                 6.7.2. Genetic Operators",

Genetic Programming entries for Zhechen Zhu Asoke K Nandi