Applied AI for Wireless & Radar Applications

Описание: Artificial Intelligence is increasingly important in wireless and radar systems, helping improve signal classification, detection, and overall system performance. As these technologies advance, integrating AI into existing workflows becomes a practical need, not just a research goal.

MATLAB makes this easier by offering a unified environment for AI development, combining data preparation, model training, simulation, and deployment in a streamlined workflow. You do not need to switch tools or write complex code to get started.

IN THIS VIDEO

Abderrahim Belissaoui walks you through building, testing, and deploying AI models for wireless and radar applications using practical MATLAB examples, including spectrum sensing and modulation classification with deep learning, 5G channel estimation using CNNs, radar clutter suppression with neural networks, and radar target classification using machine learning and deep learning.

Introduction (03:30)
AI with MATLAB (06:45)
AI for Wireless Communications Applications (21:50)
AI for Radar Applications (48:17)
DEMO: Maritime Clutter Suppression with Neural Networks (52:17)
Summary & Call-to-Action (57:38)

More information
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