Part 8: Inverse Problems and Reconstruction

Chapter 41: Classical Reconstruction Algorithms

Advanced~180 min

Learning Objectives

  • Implement matched filter / back-projection as the adjoint operation
  • Implement ISTA, FISTA, and ADMM for sparse RF image reconstruction
  • Apply total variation regularization for piecewise-constant scenes
  • Benchmark classical methods: runtime, PSNR, SSIM across SNR and sparsity regimes

Sections

Prerequisites

💬 Discussion

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