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

  • 【作者】Guo, Huijuan,Han, Suqing,Hao, Fei,Park, Doo-Soon,Min, Geyong
  • 【刊名】Multimedia Tools & Applications
  • 【作者单位】1 Taiyuan Normal University, Department of Computer Science and Technology, Taiyuan, 030619, China, 66340; 2 Shaanxi Normal University, School of Computer Science, Xi'an, 710119, China, 12401; 3 Soonchunhyang University, Department of Computer Software Engineering, Asan, South Korea, 37969; 4 University of Exeter, Department of Mathematics and Computer Science, Exeter, UK, 3286
  • 【年份】2019
  • 【卷号】Vol.78 No.1
  • 【页码】3-26
  • 【ISSN】1380-7501
  • 【关键词】Estimated sparsity Greedy algorithm Reconstruction Sparsity pursuit 
  • 【摘要】 Compressed Sensing , 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 its s...
  • 【文献类型】 期刊
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