Abstract: Automatic modulation classification (AMC) is a fundamental signal-awareness mechanism in intelligent communication systems, including cognitive radio, dynamic spectrum sensing, electronic ...
This study represents a useful finding on the social modulation of the complex repertoire of vocalizations made across a variety of strains of lab mice. The evidence supporting the claims is, at ...
Key finding: The 1D-CNN significantly outperforms both LSTM and hybrid architectures. The pure LSTM failed to learn meaningful features from raw I/Q data, while the hybrid model showed modest ...
This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...
Index modulation (IM) has emerged as a promising technique for improving spectral efficiency and hardware efficiency in next-generation communication ...
RF (radyo frekansı) I/Q sinyal verilerinden modülasyon türlerini otomatik sınıflandıran bir sistem. RadioML 2016.10a ve RadioML 2018.01A veri setleri kullanılarak EDA, baseline model, derin öğrenme ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results