Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/106452
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dc.contributor.authorGuo, Ruien
dc.contributor.authorQian, Kunen
dc.contributor.authorWei, Jinpingen
dc.contributor.authorChen, Tupeien
dc.contributor.authorLiu, Yanchenen
dc.contributor.authorKong, Deyuen
dc.contributor.authorWang, J. J.en
dc.contributor.authorWu, Yuancongen
dc.contributor.authorHu, S. G.en
dc.contributor.authorYu, Qien
dc.contributor.authorLiu, Yangen
dc.date.accessioned2019-06-24T08:41:31Zen
dc.date.accessioned2019-12-06T22:12:07Z-
dc.date.available2019-06-24T08:41:31Zen
dc.date.available2019-12-06T22:12:07Z-
dc.date.issued2019en
dc.identifier.citationGuo, R., Qian, K., Wei, J., Chen, T., Liu, Y., Kong, D., . . . Liu, Y. (2019). Design of a neural network-based VCO with high linearity and wide tuning range. IEEE Access, 7, 60120-60125. doi:10.1109/ACCESS.2019.2915335en
dc.identifier.urihttps://hdl.handle.net/10356/106452-
dc.description.abstractIn this paper, a 2 GHz LC-VCO with neural network (Multilayer Perceptron) has been designed in a 0.13 ţm CMOS technology. With the integrated neural network, the linearity and tuning range of the LC-VCO has been substantially improved. Compared to a conventional VCO design, the proposed technique can improve the linearity by selecting optimized bias voltages obtained from the output of the neuron network. The result shows that the tuning nonlinearity of the proposed VCO is further optimized from 0.335% to 0.254%.en
dc.format.extent6 p.en
dc.language.isoenen
dc.relation.ispartofseriesIEEE Accessen
dc.rights© 2019 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.en
dc.subjectLC-VCOen
dc.subjectNeural Networken
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleDesign of a neural network-based VCO with high linearity and wide tuning rangeen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.identifier.doi10.1109/ACCESS.2019.2915335en
dc.description.versionPublished versionen
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