Model Based Deep Learning - Applications to Imaging and Communications - Yonina Eldar

Model Based Deep Learning - Applications to Imaging and Communications - Yonina Eldar

Alan Turing Institute via YouTube Direct link

Intro

1 of 19

1 of 19

Intro

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Model Based Deep Learning - Applications to Imaging and Communications - Yonina Eldar

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  1. 1 Intro
  2. 2 The Deep Learning Revolution
  3. 3 Challenges
  4. 4 Model Based Signal Processing
  5. 5 Motivation: Symbol Detection
  6. 6 Deep Symbol Detection
  7. 7 Model-Based vs. Deep Learning
  8. 8 Data Driven Hybrid Algorithms
  9. 9 DUBLID: Deep Unrolling for Blind Deblurring
  10. 10 Deep Unfolding with Normalizing Flow Priors
  11. 11 DL for Clutter Suppression
  12. 12 Deep Adaptive Beamforming
  13. 13 Super Resolution Microscopy
  14. 14 SPARCOM Recovery
  15. 15 SPARCOM: Super Resolution Correlation Microscopy
  16. 16 SUSHI: Sparsity-Based Ultrasound Super- resolution Hemodynamic Imaging
  17. 17 Rationale
  18. 18 Viterbi Algorithm
  19. 19 Factor Graph Methods

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