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Sergio Saponara

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  • May 2, 2024 | mdpi.com | Federico Rossi |Sergio Saponara

    This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticlebyFederico RossiFederico RossiScilitPreprints.orgGoogle Scholar * and Sergio SaponaraSergio SaponaraScilitPreprints.orgGoogle Scholar Department of Information Engineering, University of Pisa, 56122 Pisa, Italy*Author to whom correspondence should be addressed.

  • Apr 29, 2023 | researchgate.net | Hua Wu |Sergio Saponara

    Automatic modulation recognition (AMR) of communication signals is an important research topic in the processing of intercepted signals. In this paper, aiming for the automatic recognition of modulated signals, we propose a feature learning and classification method based on the high-order cumulants, which effectively suppresses Gaussian white noise. Six digital modulation schemes including BPSK, QPSK, 8PSK, 8QAM, 16QAM, and 64QAM can be recognized by comparing the feature with the threshold.

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