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Applications of sparse signal processing

Azghani, M ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. DOI: 10.1109/GlobalSIP.2016.7906061
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2017
  4. Abstract:
  5. Sparse signal processing has found various applications in different research areas where the sparsity of the signal of interest plays a significant role in addressing their ill-posedness. In this invited paper, we give a brief review of a number of such applications in inverse scattering of microwave medical imaging, compressed video sensing, and missing sample recovery based on sparsity. Moreover, some of our recent results on these areas have been reported which confirms the fact that leveraging the sparsity prior of the underlying signal can improve different processing tasks in various problems. © 2016 IEEE
  6. Keywords:
  7. Compressive sampling ; Random sampling ; Sparse signal processing ; Sparsity ; Inverse problems ; Medical imaging ; Compressed video ; Compressive sampling ; Inverse scattering ; Random sampling ; Sample recoveries ; Signal of interests ; Sparse signal processing ; Sparsity ; Signal processing
  8. Source: 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016, 7 December 2016 through 9 December 2016 ; 2017 , Pages 1349-1353 ; 9781509045457 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/7906061