An Efficient Source–Channel Coding for Wireless Image Transmission Over Underwater Acoustic Channel

Faculty Engineering Year: 2017
Type of Publication: ZU Hosted Pages: 291-302
Authors:
Journal: Wireless Personal Communications Springer US Volume: 96
Keywords : , Efficient Source–Channel Coding , Wireless Image Transmission    
Abstract:
In this paper, a complete system for image transmission in harsh underwater environment is proposed. The key to increase the performance of the system is the use of an efficient image compression algorithm with a bandwidth-efficient modulat
   
     
 
       

Author Related Publications

  • Hanaa Shaker Abdelbaset Ali, "Spectrum Sensing Optimization and Performance Enhancement of Cognitive Radio Networks", Springer, 2016 More
  • Hanaa Shaker Abdelbaset Ali, "Performance Evaluation of A Novel IMS-based Architecture for LTE-WIMAX-WLAN Interworking", IEEE, 2015 More
  • Hanaa Shaker Abdelbaset Ali, "Piecewise linear model for haze level estimation and an efficient image restoration technique", Elsevier, 2017 More
  • Hanaa Shaker Abdelbaset Ali, "Entropy with Local Binary Patterns for Efficient Iris Liveness Detection", Springer US, 2017 More
  • Hanaa Shaker Abdelbaset Ali, "Speeded up robust features for efficient iris recognition", Springer, 2016 More

Department Related Publications

  • Hanaa Shaker Abdelbaset Ali, "Entropy with Local Binary Patterns for Efficient Iris Liveness Detection", Springer US, 2017 More
  • Fathi Abdelfattah Farag Ahmed, "Input–output Rail-to-RailCMOSCCIIforlowvoltage–low powerapplications", MicroelectronicsJournal, 2015 More
  • Mohammed Farahat Abdelhamied Abdelrahman, "Input–output Rail-to-RailCMOSCCIIforlowvoltage–low powerapplications", MicroelectronicsJournal, 2015 More
  • Ahmed Reda Abdelmouniem Mohamed, "Input–output Rail-to-RailCMOSCCIIforlowvoltage–low powerapplications", MicroelectronicsJournal, 2015 More
  • Ahmed Reda Abdelmouniem Mohamed, "Input–output Rail-to-RailCMOSCCIIforlowvoltage–low powerapplications", MicroelectronicsJournal, 2015 More
Tweet