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|Title:||Design of a neural network-based VCO with high linearity and wide tuning range||Authors:||Guo, Rui
Wang, J. J.
Hu, S. G.
DRNTU::Engineering::Electrical and electronic engineering
|Issue Date:||2019||Source:||Guo, 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.2019.2915335||Series/Report no.:||IEEE Access||Abstract:||In 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%.||URI:||https://hdl.handle.net/10356/106452
|DOI:||10.1109/ACCESS.2019.2915335||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.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Journal Articles|
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