Abstract: A Proposed Hybrid Method for Airtarget Acoustic Signature Diagnosis
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

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Research Paper | Electronics & Communication Engineering | Egypt | Volume 5 Issue 6, June 2016

A Proposed Hybrid Method for Airtarget Acoustic Signature Diagnosis

Mazhar Taylel, Mahmoud Sabry

The Airtarget acoustic signal always suffers from noise discrepancies depending on the environmental conditions. It is very useful to use Airtarget Acoustic Signature for detection, classification and recognition process. The merged noise with the acoustic signal differs from place to place and from day time to another. Without de-noising process the results of airtarget captured signal will be inaccurate. Therefore, a proposed preprocessing technique is introduced to analyze a noisy airtarget acoustic signal. Considering the benefits of the discrete wavelet transform in de-noising, it is used to preprocess the AT signature.

Keywords: Discrete Wavelet Transform DWT, Discrete Cosine Transform DCT, Acoustic Signature AS, Airtarget AT, signal to noise ratio SNR, Signal statistics

Edition: Volume 5 Issue 6, June 2016

Pages: 1854 - 1857

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How to Cite this Article?

Mazhar Taylel, Mahmoud Sabry, "A Proposed Hybrid Method for Airtarget Acoustic Signature Diagnosis", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV164443, Volume 5 Issue 6, June 2016, 1854 - 1857

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