A Novel Analog Modulation Classification: Discrete Wavelet Transform-Extreme Learning Machine (DWT-ELM)

dc.authorid0000-0003-4936-7690en_US
dc.contributor.authorÜstündağ, Mehmet
dc.date.accessioned2022-03-22T08:41:37Z
dc.date.available2022-03-22T08:41:37Z
dc.date.issued2021en_US
dc.departmentMTÖ Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThe aim of this study is to propose a method using discrete wavelet transform and extreme learning machine (DWT-ELM) in classification of communication signals. Six types of analog modulated signals as “AM”, “DSB”, “USB”, “LSB”, “FM” and “PM” are used for classification and analog modulated signal dataset consists of 1920 signals. These signals are also added white noise. Feature extraction is performed using different DWT filters. The feature vector obtained from DWT is used in classification. ELM is preferred due to its advantages over conventional back-propagation based classification. The feature vector is fed by the inputs of the ELM. The performance of the proposed method is evaluated for different types of DWT filters. In addition, compared results with similar study are presented to be able to determine the success of the proposed method.en_US
dc.identifier.citationUSTUNDAG, M. A Novel Analog Modulation Classification: Discrete Wavelet Transform-Extreme Learning Machine (DWT-ELM). Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 10(2), 492-506.en_US
dc.identifier.doi10.17798/bitlisfen.852909
dc.identifier.endpage506en_US
dc.identifier.issn2147-3129en_US
dc.identifier.issue2en_US
dc.identifier.startpage492en_US
dc.identifier.urihttps://doi.org/10.17798/bitlisfen.852909
dc.identifier.urihttps://hdl.handle.net/20.500.12899/752
dc.identifier.volume10en_US
dc.institutionauthorÜstündağ, Mehmet
dc.language.isoenen_US
dc.publisherBitlis Eren Üniversitesien_US
dc.relation.ispartofBitlis Eren Üniversitesi Fen Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDWT-ELMen_US
dc.subjectELM classificationen_US
dc.subjectWavelet Transformen_US
dc.subjectAnalog modulated signalsen_US
dc.titleA Novel Analog Modulation Classification: Discrete Wavelet Transform-Extreme Learning Machine (DWT-ELM)en_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Yükleniyor...
Küçük Resim
İsim:
MTU5.pdf
Boyut:
875.5 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: