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insight - Automatic Modulation Classification
Optimized Deep Learning Models for Efficient Automatic Modulation Classification on Edge Devices
Developing optimized deep learning models for automatic modulation classification that are suitable for deployment on resource-constrained edge devices.
An Online Automatic Modulation Classification Scheme Based on Isolation Distributional Kernel (IDK) for Time-Varying Channel Conditions
This paper introduces a novel online Automatic Modulation Classification (AMC) scheme, IDK-OGD, which leverages Isolation Distributional Kernel (IDK) for robust signal representation and Online Gradient Descent (OGD) for adaptive model updates, achieving superior performance in time-varying channel conditions compared to existing methods.
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