Compressed sensing is a thriving research field covering a class of problems where a large
sparse signal is reconstructed from a few random measurements. In the presence of several …

Compressed sensing (CS) is a recently invented sub-sampling technique that utilizes
sparsity in full signals. Most natural signals possess this sparsity property. From a sub …

We derive a linear minimum mean square error estimator for sparse vector estimation from
an underdetermined set of linear equations. The derivation of the estimator uses a prior …

Many scientific and engineering problems require us to process measurements and data in
order to extract information. Since we base decisions on information, it is important to design …