This thesis presented efficient algorithms for sparse signal reconstruction, which has a variety of applications, e.g. in MRI image reconstruction and wireless communications. Using the developed algorithms, the impulsive noise in wireless communication has been eliminated and this enables the user to communicate more signals and utilize more bandwidth. The developed algorithms have also been used for MRI image reconstruction, which significantly improved the quality of the MRI image. This, in turn, facilitates the disease diagnosis such as cancer detection.
History
Thesis type
Thesis (PhD)
Thesis note
Thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy, Swinburne University of Technology, 2016.