Litcius/Paper detail

Spectrum interference-based two-level data augmentation method in deep learning for automatic modulation classification

Qinghe Zheng, Penghui Zhao, Yang Li, Hongjun Wang, Yang Yang

2020Neural Computing and Applications203 citationsDOI

Topics & Concepts

Computer scienceInterference (communication)Cognitive radioArtificial intelligenceModulation (music)DemodulationFrequency domainDeep learningGeneralizationNoise (video)Artificial neural networkShort-time Fourier transformFrequency modulationPattern recognition (psychology)Fourier transformSpeech recognitionRadio frequencyChannel (broadcasting)TelecommunicationsWirelessMathematicsFourier analysisAcousticsComputer visionImage (mathematics)Mathematical analysisPhysicsWireless Signal Modulation ClassificationRadar Systems and Signal Processing
Spectrum interference-based two-level data augmentation method in deep learning for automatic modulation classification | Litcius