A New Scattering Clusters Equalization Algorithm for Airtarget Acoustic Passive Detection and Classification | Zendy

Mazhar Tayel | Zendy; Mahmoud Sabry | Zendy

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A New Scattering Clusters Equalization Algorithm for Airtarget Acoustic Passive Detection and Classification

Author(s) -

Mazhar Tayel,

Mahmoud Sabry

Publication year - 2017

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2017914665

Subject(s) - computer science , equalization (audio) , algorithm , speech recognition , artificial intelligence , pattern recognition (psychology) , decoding methods

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.

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