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  • 标题:Optimum Compression of Iris Templates by using Multiple Source Coding
  • 本地全文:下载
  • 作者:Aparna Singh ; Deepak Paranjape
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2017
  • 卷号:6
  • 期号:10
  • 页码:19948
  • DOI:10.15680/IJIRSET.2017.0610138
  • 出版社:S&S Publications
  • 摘要:The aim of this Research work is to improve the performance of the system by using the Adaptive Delta &Shannon-Fano Codes. Using error detection and correction methods to tackle erroneous frames in such environment isinefficient, because of the large number of steps needed in these methods (4). Also these methods introduce high latency,where the repeated retransmission or regeneration consumes considerable time, which leads to a high delay betweendetection moment of an event at the sensor nodes, so that the informing the base station about that event may be very late.Retransmission or regeneration also consumes large amount of energy of the nodes. Whereas energy saving is sometimesone of the main aspect here.
  • 关键词:Error detection and correction; Adaptive delta code; Shannon-fano code.
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