Modulated Autocorrelation Convolution Networks for Automatic Modulation Classification Based on Small Sample Set

Modulated Autocorrelation Convolution Networks for Automatic Modulation Classification Based on Small Sample Set

For modulation classification, hand-crafted approaches can generalize well from a few samples, yet deep learning algorithms require millions of samples to achieve the superior performance with purely data-driven manner. However for many practical problems only with small sample set (SSS) available,...

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Bibliographic Details
Main Authors: Duona Zhang, Wenrui Ding, Chunhui Liu, Hongyu Wang, Baochang Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Autocorrelation convolution
modulation filters
small sample set
automatic modulation classification
deep learning
Online Access:https://ieeexplore.ieee.org/document/8981925/

Internet

https://ieeexplore.ieee.org/document/8981925/

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