The confidential performance of chaotic modulations is evaluated by a designed automatic modulation classification (AMC) system.
This shows the potential of the deep learning model for the application of modulation classification.
Classification plays a significant role in production activities and lives.
Classification plays an important role in decision support systems.
Therefore, all modulation classification methods based on estimates of these functions, as well as their spectral counterparts, fail to identify the characteristics of the modulation format.
Here, we test the application of deep neural networks to the automatic modulation classification in AWGN and flat-fading channel.
Automatic modulation classification.
Block diagram for novel modulation classification algorithm.
A two-stage pulse modulation classification method which contains a "modulation family classification" and an "accurate classification" is presented.
Classification plays an important role in CS.
