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Bias-dependent small-signal modeling based on neuro-space mapping for MOSFET

โœ Scribed by Shoulin Li; Jiali Cheng; Bo Han; Jianjun Gao


Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
866 KB
Volume
21
Category
Article
ISSN
1096-4290

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โœฆ Synopsis


In this article, bias-dependent small-signal modeling approach based on neuro-space mapping is proposed for MOSFET. Good agreement is obtained between the simulated and measured results for a 130 nm MOSFET in the frequency range of 100 MHz-40 GHz confirming the validity and effectiveness of our approach. In addition, higher accuracy is achieved by our approach in contrast to conventional empirical model.


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Neuro-space mapping-based DC modeling fo
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In this article, two approaches for modeling DC characteristics for MOSFET based on neuro-space mapping (SM) are proposed. The first approach makes use of classical neuro-SM technology, while the second combines neuro-SM with prior knowledge input and source difference method. The formulas for obtai