Sensing and measurement dictionaries design for block OMP algorithm
The block orthogonal matching pursuit (BOMP) algorithm aims to recover block sparse signals whose non-zero components have a block structure. Sensing and measurement dictionaries are alternatively optimised to have small inter- and sub-block mutual coherences. The computational complexity of the proposed algorithm is low. With the designed dictionaries, the performance of the BOMP algorithm improves.