Parametric Models For Helicopter Identification Using ANN
An artificial neural network (ANN) based helicopter identification system is proposed. The feature vectors are based on both the tonal and the broadband spectrum of the helicopter signal. ANN pattern classifiers are trained using various parametric spectral representation techniques. Specifically, l...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , |
| التنسيق: | article |
| منشور في: |
2020
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/2450/1/parametric_models_for_helicopter_identif_elshafei_isi_000166078300018.pdf |
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| _version_ | 1864513390825701376 |
|---|---|
| author | Elshafei, M. |
| author2 | Ahmed, MS Akhtar, S. unknown |
| author2_role | author author author |
| author_facet | Elshafei, M. Ahmed, MS Akhtar, S. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Elshafei, M. Ahmed, MS Akhtar, S. unknown |
| dc.date.*.fl_str_mv | 2020 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/2450/1/parametric_models_for_helicopter_identif_elshafei_isi_000166078300018.pdf Parametric Models For Helicopter Identification Using ANN. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 36. pp. 1242-1252. |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, |
| dc.relation.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/2450/ http://isi.kfupm.edu.sa/journals/pdf/P/parametric_models_for_helicopter_identif_elshafei_isi_000166078300018.pdf |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Systems |
| dc.title.none.fl_str_mv | Parametric Models For Helicopter Identification Using ANN |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | An artificial neural network (ANN) based helicopter identification system is proposed. The feature vectors are based on both the tonal and the broadband spectrum of the helicopter signal. ANN pattern classifiers are trained using various parametric spectral representation techniques. Specifically, linear prediction, reflection coefficients, cepstrum, and line spectral frequencies (LSF) are compared in terms of recognition accuracy and robustness against additive noise. Finally, an 8-helicopter ANN classifier is evaluated, It is also shown that the classifier performance is dramatically improved if it is trained using both clean data and data corrupted with additive noise. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_b2691eab9f470a8f07fc410aae78511d |
| identifier_str_mv | Parametric Models For Helicopter Identification Using ANN. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 36. pp. 1242-1252. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::2450 |
| publishDate | 2020 |
| publisher.none.fl_str_mv | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Parametric Models For Helicopter Identification Using ANNElshafei, M.Ahmed, MSAkhtar, S.unknownSystemsAn artificial neural network (ANN) based helicopter identification system is proposed. The feature vectors are based on both the tonal and the broadband spectrum of the helicopter signal. ANN pattern classifiers are trained using various parametric spectral representation techniques. Specifically, linear prediction, reflection coefficients, cepstrum, and line spectral frequencies (LSF) are compared in terms of recognition accuracy and robustness against additive noise. Finally, an 8-helicopter ANN classifier is evaluated, It is also shown that the classifier performance is dramatically improved if it is trained using both clean data and data corrupted with additive noise.IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC,ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/2450/1/parametric_models_for_helicopter_identif_elshafei_isi_000166078300018.pdf Parametric Models For Helicopter Identification Using ANN. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 36. pp. 1242-1252. enhttps://eprints.kfupm.edu.sa/id/eprint/2450/http://isi.kfupm.edu.sa/journals/pdf/P/parametric_models_for_helicopter_identif_elshafei_isi_000166078300018.pdf2020info:eu-repo/semantics/openAccessoai::24502019-11-01T13:44:11Z |
| spellingShingle | Parametric Models For Helicopter Identification Using ANN Elshafei, M. Systems |
| status_str | publishedVersion |
| title | Parametric Models For Helicopter Identification Using ANN |
| title_full | Parametric Models For Helicopter Identification Using ANN |
| title_fullStr | Parametric Models For Helicopter Identification Using ANN |
| title_full_unstemmed | Parametric Models For Helicopter Identification Using ANN |
| title_short | Parametric Models For Helicopter Identification Using ANN |
| title_sort | Parametric Models For Helicopter Identification Using ANN |
| topic | Systems |
| url | https://eprints.kfupm.edu.sa/id/eprint/2450/1/parametric_models_for_helicopter_identif_elshafei_isi_000166078300018.pdf |