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Algorithm for automatic recognition of PSK and QAM with unique classifier based on features and threshold levels

  • Published:2020-07 Issue: Volume:102 Page:173-192
  • ISSN:0019-0578
  • Container-title:ISA Transactions
  • language:en
  • Short-container-title:ISA Transactions

Author:

Ali Ahmed K.,Erçelebi Ergun

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference43 articles.

1. Automatic modulation classification for cognitive radios using cyclic feature detection;Ramkumar;IEEE Circuits Syst Mag,2009

2. Modulation classification of MQAM signals based on density spectrum of the constellations;Yin,2010

3. A novel method for automatic modulation recognition;Sherme;Appl Soft Comput J,2012

4. Recognition of communication signal types using genetic algorithm and support vector machines based on the higher order statistics;Shermeh;Digit Signal Process A Rev J,2010

5. Genetic algorithm optimized distribution sampling test for M-QAM modulation classification;Zhu;Signal Process,2014

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1. Acoustic modulation signal recognition based on endpoint detection;Scientific Reports;2024-08-19

2. Modulation Format Recognition Based on Statistical and Amplitude Features;2024 22nd International Conference on Optical Communications and Networks (ICOCN);2024-07-26

3. Survey of Research on Application of Deep Learning in Modulation Recognition;Wireless Personal Communications;2023-12

4. Shaping Distribution Identification of Probabilistic Shaping QAM Signals Based on Higher-Order Cumulants;2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM);2023-11-04

5. Modulation Recognition Based on Denoising Bidirectional Recurrent Neural Network;Wireless Personal Communications;2023-09-06
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