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Symbolic Simulation of Analog Integrated Circuits
1991There are two major reasons for the recent increasing interest in symbolic analysis techniques for analog integrated circuits. The first reason, as explained in the previous chapter, is that a symbolic simulator can be used to automatically generate large part of the analytic model of a circuit needed to size that circuit in an automated design system,
Georges Gielen, Willy Sansen
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Advances in Analog Integrated Circuit Optimization
2018In a system though the analog circuits occupy very less space but they require far more design time than the digital circuits. This is due to the fact that the number of performance measures of an analog circuit is more than those for digital circuits.
Prakash Kumar Rout +2 more
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Testing of Analog Integrated Circuits
1991The broad aim of an integrated circuit (IC) designer working on a specific product is to provide certain functionality at minimum cost. In practice this translates into many specific goals. Some of these goals, as, for example, the optimization of certain performance measures or the minimization of chip area, are well supported by computer tools for ...
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Challenges in RF analog integrated circuits
ASICON 2001. 2001 4th International Conference on ASIC Proceedings (Cat. No.01TH8549), 2002The recent aggressive downsizing of CMOS devices makes it potential to implement RF front-end in the CMOS process, but RF circuits have some special demands which the standard digital CMOS process does not consider: low noise, high linearity, high quality passive components.
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Analog Integrated Circuit Design Conceptualization
1990The electrical signals of the natural world behave in an essentially continuous manner. In contrast, the world of electronic design, which seeks to process these continuous or analog signals, is predominantly discrete or digital. Motivated and refined largely by the evolution of the digital computer, digital design affords the electronic design ...
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The intermittent fault diagnosis of analog circuits based on EEMD-DBN
Neurocomputing, 2021Jianfeng Qu
exaly

