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Summary and Suggestions for Future Directions

  • Elsayed Elsayed Azzouz
  • Asoke Kumar Nandi
Chapter

Abstract

In this book, a set of fast algorithms has been introduced for on-line automatic modulation recognition of communication signals. Three groups of algorithms utilise the decision-theoretic approach in addition to another three groups of algorithms utilising the ANN approach. In each approach, one group is for the recognition of analogue modulations only, the second is for the recognition of digital modulations only, and the third is for the recognition of both analogue and digital modulations without any a priori information about the nature of the signal. A number of novel key features has been proposed to fulfil the requirement of these algorithms. Due to the simplicity of the key feature extraction (using conventional signal processing tools) and the decision rules used in the decision-theoretic approach as well as the simplicity of the network structures in the ANN approach, all the developed algorithms are seen to be suitable for on-line analysis.

Keywords

Modulation Type Extensive Simulation Communication Signal Analogue Modulation Single Hide Layer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1996

Authors and Affiliations

  • Elsayed Elsayed Azzouz
    • 1
  • Asoke Kumar Nandi
    • 2
  1. 1.Department of Electronic & Electrical EngineeringMilitary Technical CollegeCairoEgypt
  2. 2.Department of Electronic & Electrical EngineeringUniversity of StrathclydeGlasgowUK

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