International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 170 - Issue 1 |
Published: Jul 2017 |
Authors: Mazhar Tayel, Mahmoud Sabry |
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Mazhar Tayel, Mahmoud Sabry . A New Scattering Clusters Equalization Algorithm for Airtarget Acoustic Passive Detection and Classification. International Journal of Computer Applications. 170, 1 (Jul 2017), 29-34. DOI=10.5120/ijca2017914665
@article{ 10.5120/ijca2017914665, author = { Mazhar Tayel,Mahmoud Sabry }, title = { A New Scattering Clusters Equalization Algorithm for Airtarget Acoustic Passive Detection and Classification }, journal = { International Journal of Computer Applications }, year = { 2017 }, volume = { 170 }, number = { 1 }, pages = { 29-34 }, doi = { 10.5120/ijca2017914665 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2017 %A Mazhar Tayel %A Mahmoud Sabry %T A New Scattering Clusters Equalization Algorithm for Airtarget Acoustic Passive Detection and Classification%T %J International Journal of Computer Applications %V 170 %N 1 %P 29-34 %R 10.5120/ijca2017914665 %I Foundation of Computer Science (FCS), NY, USA
Capture of airtarget acoustic signal carries a lot of information that can be used for its characterization. The airtarget acoustic signal can be used as a passive detection and classification technique. In this paper, a proposed flexible algorithm for airtarget type passive detection and classification is introduced to extract some selected unique features to classify airtargets. Also, a proposed equalization method is introduced to characterize the airtargets according to their extracted features.