Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Menguc Oner"'
Autor:
Menguc Oner, Esra Sorguven
Publikováno v:
IEEE Communications Letters. 26:64-68
Diffusive molecular communications (DMC) relies on the Brownian motion of dedicated molecules for transmitting information. The signal propagation characteristics in a DMC channel is determined by the geometries of the environment, receiver and the t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::000bd460b89314f19159e93587b0ac92
https://doi.org/10.1109/lcomm.2021.3123578
https://doi.org/10.1109/lcomm.2021.3123578
Autor:
Menguc Oner, Sinem Nimet Solak
This letter considers the task of abnormality detection in a fluid medium, employing a molecular communications (MC) based network of nanoscale sensors. This task entails sensing, detection and reporting of abnormal changes in the environment that ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7f0a8de8725eb0c5f63ba8ac348e2f5
http://sro.sussex.ac.uk/id/eprint/95330/1/accepted_version.pdf
http://sro.sussex.ac.uk/id/eprint/95330/1/accepted_version.pdf
Autor:
Sinem Nimet Solak, Menguc Oner
Publikováno v:
SiPS
Abnormality detection is one of the most highly anticipated application areas of Molecular Communication (MC) based nanonetworks. This task entails sensing, detection, and reporting of abnormal changes in a fluid medium that may characterize a diseas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5acbcfa1d890b52a43cf31136a306290
https://doi.org/10.1109/sips50750.2020.9195212
https://doi.org/10.1109/sips50750.2020.9195212
Autor:
Menguc Oner, Sinem Nimet Solak
Publikováno v:
NANOCOM
Abnormality detection is expected to become one of the most crucial tasks of molecular communications (MC) based nanoscale networks. This task involves the sensing, detection, and reporting of abnormal changes taking place in a fluid medium, which ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc504c0187c5e8aecee450340f99f8bf
https://doi.org/10.1145/3411295.3411313
https://doi.org/10.1145/3411295.3411313
Autor:
Menguc Oner
Blind and non-cooperative classification of the modulation employed in signals originating from unknown or partly known sources has widespread applications in civilian and military contexts. One of the most recent and interesting approaches to digita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9f5e4680b294041ec09acccce00f0aa
http://sro.sussex.ac.uk/id/eprint/76019/1/final_version.pdf
http://sro.sussex.ac.uk/id/eprint/76019/1/final_version.pdf
Publikováno v:
IEEE Communications Letters. 17:1881-1884
A novel algorithm is proposed for automatic modulation classification in multiple-input multiple-output spatial multiplexing systems, which employs fourth-order cumulants of the estimated transmit signal streams as discriminating features and a likel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2af7ab4fd6a74f805797bb71b661931d
https://doi.org/10.1109/lcomm.2013.091113.130975
https://doi.org/10.1109/lcomm.2013.091113.130975
Signal identification is an umbrella term for signal processing techniques designed for the identification of the transmission parameters of unknown or partially known communication signals. Initially a key technology for military applications such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::038884752d7c37d97376cdefdfa2c9f2
https://hdl.handle.net/11729/759
https://hdl.handle.net/11729/759
Noncooperative classification of the modulation type of communication signals finds application in both civilian and military contexts. Existing modulation classification methods for multiple-input multiple-output (MIMO) communication systems commonl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22e8eaf5a76869ea8e1c55c28bf4fdda
https://aperta.ulakbim.gov.tr/record/59425
https://aperta.ulakbim.gov.tr/record/59425
Publikováno v:
IEEE Communications Letters. 16:12-15
This letter proposes two novel algorithms for the identification of quadrature amplitude modulation (QAM) signals. The cyclostationarity-based features used by these algorithms are robust with respect to timing, phase, and frequency offsets, and phas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca68e2691289c97e974faa2bb175a1e6
https://doi.org/10.1109/lcomm.2011.112311.112006
https://doi.org/10.1109/lcomm.2011.112311.112006
Autor:
Menguc Oner, Octavia A. Dobre
Publikováno v:
IEEE Transactions on Communications. 59:3278-3284
Cyclostationary characteristics of communication signals can be exploited for performing various signal processing tasks. Receiver impairments that affect the cyclic statistics of signals may lead to a degradation in the performance of cyclostationar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efd20b345e419118c52cd478641df1bb
https://doi.org/10.1109/tcomm.2011.081111.100028
https://doi.org/10.1109/tcomm.2011.081111.100028