Compressed sensing is a new rapidly growing research field emerging primarily in the USA, which investigates ways in which we can sample signals at roughly the “information rate” rather than the Nyquist rate. For example compressed sensing theory has already enabled a 4-fold reduction in acquisition time for MRI images by allowing the under-sampling of k-space (Lustig et al. 2007)

To read the article, please open the following link :  http://www.see.ed.ac.uk/~mdavies4/Research/CS/