Tutorial - Denoising (Checked: D)

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• Denoising and regularization: rgz and cdf modules (Checked: D)
  • The algorithm: a minimal but representative formulation
  • Manual execution of the basic algorithm
    • Problem statement
    • Objective
    • Modelization of the example problem
    • The algorithm step by step
    • Generalizing the algorithm
  • How the algorithm is implemented in practice
    • Exploring auxiliary functions
      • Auxiliary functions
    • Encapsulating fine-tuning and algorithmic variants
      • Interaction between workflow and variant logic
    • Abstract class LayerRegularizer
      • Constructor
      • Setup method
      • Update
      • Eigendecomposition
      • The weighting function
    • Default implementation: StandardLayerRegularizer
      • The alpha_method parameter
      • The cdf module
      • The param and mode parameters
      • The lin_alg_method and the num_eigen parameters
  • Putting everything together: Chirps
    • Problem statement
    • Objective
    • Strategy
  • Putting everything together: Coding theory
    • Problem statement
    • Objective
    • Strategy
  • Optional: deeper insights and extensions
    • A nilsequence
    • Problem statement
    • Objective