AI/ML for Deep-Learning Radar Data Compression (Low-Bit Storage and Reconstruction)
The opportunity supports projects using deep learning—such as autoencoders or transformer models—to compress raw radar data into low-bit representations. Compressed data must be reconstructed in a way that preserves radar usefulness while improving storage and transmission efficiency. Focus areas likely include efficient models, loss-aware compression, and reconstruction fidelity for radar sig…
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