Whether you use machine learning, deep learning, or reinforcement learning workflows, you can reduce development time with ready-to-use algorithms and data generated with MATLAB^® and wireless communications products. You can easily leverage existing deep learning networks outside MATLAB; streamline training, testing, and verification of your designs; and simplify deployment of your AI networks on embedded devices, enterprise systems, and the cloud.

With MATLAB, you can:

• Generate training data in the form of synthetic and over-the-air signals using the Wireless Waveform Generator app
• Augment signal space by adding RF impairments and channel models to your generated signals
• Label signals collected from wireless systems using the Signal Labeler app
• Apply reusable and streamlined training, simulation, and testing workflows to various wireless applications using the Deep Network Designer and Experiment Manager apps
• Add custom layers to your deep learning designs