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