Electrical & Computer Engin 697CS - ST-Intro: Compressive Sensing

Signal models: sparsity, compressibility, and transform coding. Performance metrics: spark, null space property, restricted isometry property, coherence. Recovery algorithms: ell-1 minimization, greedy algorithms. Applications and extensions: multiple measurement vectors, linear regression, matrix completion.