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Title page for etd-0904117-124027


URN etd-0904117-124027 Statistics This thesis had been viewed 296 times. Download 0 times.
Author Ru-Da Ma
Author's Email Address No Public.
Department Communication Engineering
Year 2016 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 51
Title The Study of Constrained Iterative Signal Restoration Algorithms
Keyword
  • CISRA
  • PGA
  • EVM
  • performance estimation
  • performance estimation
  • EVM
  • PGA
  • CISRA
  • Abstract The applications and improvements of many constrained iterative signal restoration algorithms (CISRAs) have been widely investigated during the past few decades. However, the recoverability of CISRA depending on the proportional relation between both partial knowledges of data domain and transformed domain were rarely discussed. In this thesis, a well-known CISRA, the discrete Papoulis-Gerchburg algorithm, is taken as an example for performance evaluation. Two performances, convergent error vector magnitude (EVM) of difference error and iteration number, are examined by considering all the combinations of samples on data domain and transformed domain respectively. The simulation results show that the maximum number of lost samples could be determined specifically when the criteria of convergent EVM and iteration number were given in demand.
    Advisor Committee
  • Chau-Yun Hsu - advisor
  • Jie-Cherng Liu - co-chair
  • Tsung-Ming Lo - co-chair
  • Files indicate in-campus access at 5 years and off-campus access at 5 years
    Date of Defense 2017-07-27 Date of Submission 2017-09-04


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