Swinburne
Browse

A novel approach to sparse signal reconstruction and noise reduction

Download (1.47 MB)
thesis
posted on 2024-07-11, 18:27 authored by Mehdi KorkiMehdi Korki
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.

Copyright statement

Copyright © 2016 Mehdi Korki.

Supervisors

Jungxin Zhang

Language

eng

Usage metrics

    Theses

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC