Recognition of communication signal types using genetic algorithm and support vector machines based on the higher order statistics-Reference-Cited by-同舟云学术

Recognition of communication signal types using genetic algorithm and support vector machines based on the higher order statistics

Published:2010-12 Issue:6 Volume:20 Page:1748-1757
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Shermeh Ataollah Ebrahimzadeh,Ghazalian Reza

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference23 articles.

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3. P. Panagotiou, A. Polydoros, Likelihood ratio tests for modulation classifications, in: Proc. MILCOM, 2000, pp. 670–674

4. Automatic modulation classification using zero-crossing;Hsue;IEE Proc. Radar Sonar Navigation,1990

5. Digital modulation classification using constellation shape;Mobasseri;Signal Process.,2000

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