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    "# Sparse Coding\n",
    "\n",
    "-   [Solve a synthetic Basis Pursuit DeNoising (BPDN) problem with\n",
    "    regularization parameter optimization (ADMM solver)](bpdn_opt.ipynb)\n",
    "-   [Solve a synthetic Basis Pursuit DeNoising (BPDN) problem (PGM\n",
    "    solver)](bpdn_pgm.ipynb)\n",
    "-   [Solve a synthetic Basis Pursuit DeNoising (BPDN) problem (ADMM and\n",
    "    PGM solvers)](bpdn_cmp.ipynb)\n",
    "-   [Solve a synthetic Basis Pursuit DeNoising (BPDN) problem with joint\n",
    "    sparsity via an ℓ2,1 norm term, with regularization parameter\n",
    "    optimization](bpdnjnt_opt.ipynb)\n",
    "-   [Solve a synthetic least absolute shrinkage and selection operator\n",
    "    (lasso) problem](bpdnprjl1.ipynb)\n",
    "-   [Solve a synthetic problem involving minimisation of an ℓ1 norm with\n",
    "    ℓ2 constraint](minl1prjl2.ipynb)\n",
    "-   [Remove Gaussian white noise from a greyscale image using sparse\n",
    "    coding](gwnden_clr.ipynb)"
   ]
  }
 ],
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