Sparse Signals Reconstruction Via Adaptive Iterative Greedy Algorithm

Faculty Science Year: 2014
Type of Publication: ZU Hosted Pages:
Authors:
Journal: International Journal of Computer Applications International Journal of Science and Research (IJSR) Volume:
Keywords : Sparse Signals Reconstruction , Adaptive Iterative Greedy    
Abstract:
Compressive sensing(CS) is an emerging research field that has applications in signal processing, error correction, medical imaging, seismology, and many more other areas. CS promises to efficiently reconstruct a sparse signal vector via
   
     
 
       

Author Related Publications

  • Ahmed AbdElFattah Ahmed Salim, "Efficient Compressive Sensing based Technique for Routing in Wireless Sensor Networks", INFOCOMP, 2013 More
  • Ahmed AbdElFattah Ahmed Salim, "IBLEACH: intrabalanced LEACH protocol for wireless sensor networks", Springer, 2014 More
  • Ahmed AbdElFattah Ahmed Salim, "Distributed multi chain compressive sensing based routing algorithm for wireless sensor networks", Springer, 2014 More
  • Ahmed AbdElFattah Ahmed Salim, "Clustering Algorithm Based on the Direction of Overlapping Field of Views for Wireless Multimedia Sensor Networks", American Scientific Publishers, 2016 More
  • Ahmed AbdElFattah Ahmed Salim, "CSOCA: Chicken swarm optimization based clustering algorithm for wireless sensor networks", IEEE, 2020 More

Department Related Publications

  • Hany Samih Bayoumi Ibrahim, "Passive and active controllers for suppressing the torsional vibration of multiple-degree-of-freedom system", Sage, 2014 More
  • Ahmed Mohamed Khedr Souliman, "SEP-CS: Effective Routing Protocol for Heterogeneous Wireless Sensor Networks", Ad Hoc & Sensor Wireless Networks, 2012 More
  • Ahmed Mohamed Khedr Souliman, "Minimum connected cover of a query region in heterogeneous wireless sensor networks", Information Sciences, 2013 More
  • Ahmed Mohamed Khedr Souliman, "IBLEACH: intra-balanced LEACH protocol for wireless sensor networks", Wireless Netw, 2014 More
  • Ahmed Mohamed Khedr Souliman, "AGENTS FOR INTEGRATING DISTRIBUTED DATA FOR FUNCTION COMPUTATIONS", Computing and Informatics,, 2012 More
Tweet