Name
Abstract | ||
|---|---|---|
In this paper, a 2 GHz LC-VCO with neural network (Multilayer Perceptron) has been designed in a 0.13 tm 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%. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ACCESS.2019.2915335 | IEEE ACCESS |
Keywords | Field | DocType |
LC-VCO, neural network, MLP, varactor tank, linearity | Computer science,Linearity,Electronic engineering,Voltage-controlled oscillator,Artificial neural network,Distributed computing | Journal |
Volume | ISSN | Citations |
7 | 2169-3536 | 0 |
PageRank | References | Authors |
0.34 | 0 | 11 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Guo | 1 | 16 | 5.95 |
| kun qian | 2 | 16 | 7.78 |
| Jinping Wei | 3 | 0 | 0.34 |
| Tupei Chen | 4 | 0 | 1.69 |
| Yang Liu | 5 | 2194 | 188.81 |
| Deyu Kong | 6 | 0 | 1.35 |
| Jing Wang | 7 | 410 | 41.91 |
| Yuancong Wu | 8 | 0 | 1.01 |
| Shaogang Hu | 9 | 0 | 1.35 |
| Qi Yu | 10 | 14 | 5.17 |
| Yang Liu | 11 | 2 | 1.71 |