sparse-plex
  • About Sparse-Plex
  • Getting Started
  • Demos
    • Dirac DCT Tutorial
    • Basic CS Tutorial
    • Dictionaries
    • Compressive Sensing
    • Pursuit Algorithms
    • Clustering
  • Sparse Signal Models
  • Compressive Sensing
  • Data Analysis
  • Data Clustering
  • Pursuit Algorithms
  • Subspace Clustering
  • Dictionary Learning
  • Set Theory
  • Linear Algebra
  • Matrix Algebra
  • Real Analysis
  • Convex Analysis
  • Probability and Random Variables
  • Geometry
  • Numerical Optimization
  • Digital Signal Processing
  • Wavelets
  • Detection, Classification and Estimation
  • ECG
  • Computational Complexity
  • Library Classes
  • Exercises
  • Scripts
  • References
  • Index
  • File an issue
    • sparse-plex
    • Docs »
    • Demos

    Demos¶

    • Dirac DCT Tutorial
    • Basic CS Tutorial

    Dictionaries¶

    • Implementing the Babel function
    • Hands-on with Dirac DCT dictionaries
    • Hands-on with Dirac Hadamard dictionaries

    Compressive Sensing¶

    • Hands on with Gaussian sensing matrices

    Pursuit Algorithms¶

    • Working with signal support
    • Hands-on with Matching Pursuit
    • Hands-on with Orthogonal Matching Pursuit
    • Framework for study of performance of pursuit algorithms
    • Comparing sparse or approximately sparse signals

    Clustering¶

    • Comparing Clusterings
    • Hands-on spectral clustering
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