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A Deep Convolutional Network for Multitype Signal Detection and Classification in Spectrogram

A Deep Convolutional Network for Multitype Signal Detection and Classification in Spectrogram

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2444286603

A Deep Convolutional Network for Multitype Signal Detection and Classification in Spectrogram

About this item

Full title

A Deep Convolutional Network for Multitype Signal Detection and Classification in Spectrogram

Author / Creator

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

Journal title

Mathematical problems in engineering, 2020, Vol.2020 (2020), p.1-16

Language

English

Formats

Publication information

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

More information

Scope and Contents

Contents

Wideband signal detection is an important problem in wireless communication. With the rapid development of deep learning (DL) technology, some DL-based methods are applied to wireless communication and have shown great potential. In this paper, we present a novel neural network for detecting signals and classifying signal types in wideband spectrog...

Alternative Titles

Full title

A Deep Convolutional Network for Multitype Signal Detection and Classification in Spectrogram

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2444286603

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2444286603

Other Identifiers

ISSN

1024-123X

E-ISSN

1563-5147

DOI

10.1155/2020/9797302

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