This paper presents fuzzy c-means-based yield estimation (FUZYE), a methodology that
reduces the time impact caused by Monte Carlo (MC) simulations in the context of analog …

This paper presents the study and implementation of a new efficient yield optimization
technique for multi-objective optimization-based automatic analog integrated circuit sizing …

The influence of technological variation of parameters of device design and their nonlinear
elements on technological variation of frequency mixer assignment indicators has been …

Process variability and time-dependent variability have become major concerns in deeply-
scaled technologies. Two of the most important time-dependent variability phenomena are …

This chapter presents an approach of leveraging Python scripts to analyze Monte Carlo
simulation data in an Anaconda environment. The Monte Carlo analysis technique is …

Рассмотрены численные методы и алгоритмы вероятностного анализа параметров
СВЧ-микросхем для систем автоматизированного проектирования. Приведен алгоритм …

To solve the limitation of evaluating load aggregators by the Single Pricing Energy
Imbalance Settlement (SP-EIS) mechanism, this paper proposes the Piecewise Linear …

This paper presents the design of a two-stage low-noise amplifier (LNA) in a standard 130
nm CMOS technology, operating around 5 GHz, and fully synthesized with an automatic …

RESUMO O projeto de circuitos integrados analógicos, dentro da indústria da
microeletrônica tem a sua evolução ditada pela grande necessidade da integração de …

Time-dependent degradation (aging) has become more severe in modern CMOS
technologies. Therefore, it is highly critical to capture the variation effects and design reliable …