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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 |
10.5120/ijca2017914665
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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.