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- W4285194857 abstract "The amplitude phase shift keying (APSK) employs as an efficient digital modulation scheme in modern satellite communication. Many researchers, in the field of automatic modulation recognition, entice to the automatic modulation of APSK signals. This paper exhibits a new algorithm based on machine learning, for APSK modulation recognition, using wavelet scattering transform. The algorithm handles three orders of APSK signals, 16APSK, 32APSK, and 64APSK. The scattering framework is performed with two filter banks to extract the scattering coefficients (SC) that have been applied to three well-known machine learning techniques, support vector machine (SVM), k-nearest neighbors (KNN), and Naïve Bayes (NB). The proposed method attained high accuracies with a low signal-to-noise ratio (SNR) and outperformed the existing works." @default.
- W4285194857 created "2022-07-14" @default.
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- W4285194857 date "2022-01-01" @default.
- W4285194857 modified "2023-09-27" @default.
- W4285194857 title "Recognition of APSK Digital Modulation Signal Based on Wavelet Scattering Transform" @default.
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- W4285194857 doi "https://doi.org/10.1007/978-981-19-0825-5_51" @default.
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