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Published on 8 November 2024
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Chen,D. (2024). Analysis of Gain Enhancement Techniques in Integrated Circuit Design. Applied and Computational Engineering,103,17-23.
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Analysis of Gain Enhancement Techniques in Integrated Circuit Design

Dingyi Chen *,1,
  • 1 SINO-GRMEN College, University of Shanghai for Science and Technology, Shanghai, 200093, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/103/20241073

Abstract

Today, the size of semiconductor devices is still decreasing, which makes the circuit more integrated, faster computing speed, and lower power consumption. But for a single transistor, some performance degrades. One of the important properties is voltage gain, which must be compensated with some special methods in the design. This paper will focus on the discussion and analysis of four methods, which are able to improve the voltage gain. These are cascode amplifier, cascade amplifier, gain boosting, and bootstrapping. In this letter, their respective advantages and disadvantages will be discussed. Furthermore current applications and possible external development of these methods are also important part of this paper. In this part, the discussion will be further expanded and summarized on the basis of previous studies. Hopefully, these studies can help others gain a more comprehensive understanding of these technologies and provide a theoretical basis for future high-performance analog integrated operational amplifier research and design.

Keywords

Gain boosting, cascode, cascade, bootstrapping, integrated circuit design.

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Cite this article

Chen,D. (2024). Analysis of Gain Enhancement Techniques in Integrated Circuit Design. Applied and Computational Engineering,103,17-23.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Machine Learning and Automation

Conference website: https://2024.confmla.org/
ISBN:978-1-83558-695-2(Print) / 978-1-83558-696-9(Online)
Conference date: 12 January 2025
Editor:Mustafa ISTANBULLU
Series: Applied and Computational Engineering
Volume number: Vol.103
ISSN:2755-2721(Print) / 2755-273X(Online)

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