Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Jianxin Gai"'
Publikováno v:
IEEE Access, Vol 10, Pp 61354-61365 (2022)
The traditional spectrum sensing method based on convolutional neural network (CNN) has the single-branch convolutional network structure and the shallow network structure which limits the ability of extracting the Primary User (PU) feature. Aiming a
Externí odkaz:
https://doaj.org/article/21e04a236f7c44a5b8a610336b379003
Publikováno v:
Tongxin xuebao, Vol 42, Pp 182-191 (2021)
Aiming at the problem that the traditional spectrum sensing method based on convolutional neural network（CNN） did not make full use of image feature and the ability of extracting the image feature was limited by the shallow network structure， a
Externí odkaz:
https://doaj.org/article/bf6a301fe24d4f0fa0a267b9a60b3d8b
Publikováno v:
ICCI*CC
The recently proposed Modulated Wideband Converter (MWC) sampling method, for sparse wideband signals, can implement sampling without distortion at a rate lower than that prescribed by Nyquist, which alleviates the pressure from high sampling rate. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d80357307e1dd35233fe449293b7cf9
https://doi.org/10.1109/icci-cc.2018.8482020
https://doi.org/10.1109/icci-cc.2018.8482020
Publikováno v:
2018 Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC).
The recently proposed sub-Nyquist spectrum sensing method based on Modulated Wideband Converter (MWC) significantly relieves sampling pressure from wideband spectrum sensing of cognitive radio. However, the sensing success rate of a single receiving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3e96561955489c292a45d325b9395c6
https://doi.org/10.1109/imccc.2018.00303
https://doi.org/10.1109/imccc.2018.00303
Publikováno v:
2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC).
Sub-Nyquist sampling based on Modulated Wideband Converter (MWC) as an innovative low rate sampling theory for sparse wideband signals draws much attention from researchers. However, the research in terms of implementation for this theory is far from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b6041f5b0dd498d848dec0e84491b9d
https://doi.org/10.1109/imccc.2016.77
https://doi.org/10.1109/imccc.2016.77
Publikováno v:
Signal Processing. 92:2901-2908
The problem of recovering a sparse solution from Multiple Measurement Vectors (MMVs) is a fundamental issue in the field of signal processing. However, the performance of existing recovery algorithms is far from satisfactory in terms of maximum recov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::344d76a581334b8d645bda7be4e8d71b
https://doi.org/10.1016/j.sigpro.2012.05.022
https://doi.org/10.1016/j.sigpro.2012.05.022
Publikováno v:
INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences. 4:233-241
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46999407be758da520698ff57b8f0608
https://doi.org/10.4156/aiss.vol4.issue16.27
https://doi.org/10.4156/aiss.vol4.issue16.27
Publikováno v:
Journal of Convergence Information Technology. 6:303-310
By using compressive measurements, parameter estimation of LFM signal can be performed without completely reconstructing the original signal. Currently, estimation methods based on compressive measurements will not get good results for LFM signal wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::376bba223598739cfdefb382ec9e635a
https://doi.org/10.4156/jcit.vol6.issue3.35
https://doi.org/10.4156/jcit.vol6.issue3.35
Publikováno v:
International Journal of Performability Engineering; Nov2019, Issue 10, p2744-2752, 9p
Publikováno v:
Proceedings of the 2014 International Conference on Advanced ICT (ICAICTE 2014).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0adc1814a278b84f3238456543aed2b
https://doi.org/10.2991/icaicte-14.2014.71
https://doi.org/10.2991/icaicte-14.2014.71