Fast Radio Burst Pulse Detection with Gerry Zhang - TWIML Talk #278
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Mastering Domain Adaptation in Radiofrequency Signal Processing
This chapter explores the challenges of domain transfer and adaptation in radiofrequency signal processing, focusing on how differences in data distributions impact inference accuracy. It emphasizes the use of tailored features and simulated data during training, alongside specialized loss functions, to improve model generalization across diverse data sources.
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