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Signal analysis IV: HF Signal Detection using Artificial Intelligence
Artificial intelligence (AI) is a concept that is increasingly needed in automated communications intelligence (COMINT). Typical COMINT tasks using human or artificial intelligence are baseband (IQ) classification of signals, spectral shape (FFT) classification of signals, and signal detection in dense HF wideband signal scenarios.
Join the next Rohde & Schwarz webinar and learn about:
- Definition of artificial intelligence, machine learning and deep learning
- How to use deep learning in automated HF signal detection
- Similar concepts of image processing and HF signal detection
- Challenges in training a neural network to avoid inconsistencies
Product Manager Signal Analysis
Rohde & Schwarz GmbH & Co. KG
Jürgen Modlich is Product Manager for Signal Analysis at Rohde & Schwarz in Munich, Germany. In this position he designs and launches products for online signal analysis, offline signal analysis and digital wideband recording. He holds a graduate degree in computer sciences from the Technical University of Munich and has been a product manager at Rohde & Schwarz for 20 years, where he gained vast experience in COMINT & CESM applications.
