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SOSP: a stepwise optimal sparsity pursuit algorithm for practical compressed sensing

  • 【作者】Huijuan Guo,Suqing Han,Fei Hao,Doo-Soon Park,Geyong Min
  • 【刊名】Multimedia Tools and Applications
  • 【作者单位】1.Department of Computer Science and Technology,Taiyuan Normal University,Taiyuan,China;2.School of Computer Science,Shaanxi Normal University,Xi’an,China;3.Department of Computer Software Engineering,Soonchunhyang University,Asan,Korea;4.Department of Mathematics and Computer Science,University of Exeter,Exeter,UK
  • 【年份】2019
  • 【卷号】Vol.78 No.1
  • 【页码】3-26
  • 【ISSN】1380-7501;1573-7721
  • 【关键词】Compressed sensing Sparsity pursuit Estimated sparsity Reconstruction Greedy algorithm 
  • 【摘要】 Compressed Sensing (CS), as a promising paradigm for acquiring signals, is playing an increasing important role in many real-world applications. One of the major components of CS is sparse signal recovery in which greedy algorithm is well-known for i...
  • 【文献类型】 期刊
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