The Probabilistic Modeling of Random Variation in FGMOSFET

被引:0
|
作者
Banchuin, Rawid [1 ]
Chaisricharoen, Roungsan [2 ]
机构
[1] Siam Univ, Dept Comp Engn, Bangkok, Thailand
[2] Mae Fah Luang Univ, Sch Informat Technol, Chiangrai, Thailand
关键词
FGMOSFET; Probability density function; Probabilistic modeling; Statistical/variability aware analysis/designing; FLOATING-GATE; LOW-VOLTAGE; ANALOG; TRANSCONDUCTOR;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The probabilistic modeling of the random variation in drain current of the Floating-Gate MOSFET (FGMOSFET) has been performed in this research. Major physical level causes of random variations such as random dopant fluctuation and line edge roughness have been taken into account. The result has been found to be very efficient since it can accurately fit the probabilistic distributions of normalized random drain current variations of the candidate FGMOSFETs obtained by using the Monte-Carlo SPICE simulation based on BSIM3v3 at 0.25 mu m level with very high level of confidence. By using such result, many beneficial parameters can be formulated and the probabilistic modeling of the variation in FGMOSFET based circuit is possible. So, the result obtained from this modeling has been found to be beneficial the statistical/variability aware analysis/designing of any FGMOSFET circuit and system.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] RANDOM SEARCH IN PROBABILISTIC ITERATIVE ALGORITHMS
    SVECHINS.VB
    AUTOMATION AND REMOTE CONTROL, 1971, 16 (01) : 76 - &
  • [42] Classification using Probabilistic Random Forest
    Gondane, Rajhans
    Devi, V. Susheela
    2015 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI), 2015, : 174 - 179
  • [43] Probabilistic random projections and speaker verification
    Ying, Chong Lee
    Jin, Andrew Teoh Beng
    ADVANCES IN BIOMETRICS, PROCEEDINGS, 2007, 4642 : 445 - +
  • [44] On the Probabilistic approach to the random satisfiability problem
    Parisi, G
    THEORY AND APPLICATIONS OF SATISFIABILITY TESTING, 2004, 2919 : 203 - 213
  • [45] Probabilistic Clustering by Random Swap Algorithm
    Franti, Pasi
    Virmajoki, Olli
    Hautamaki, Ville
    19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, : 2400 - 2403
  • [46] Probabilistic Characterization of Random Decision Trees
    Dhurandhar, Amit
    Dobra, Alin
    JOURNAL OF MACHINE LEARNING RESEARCH, 2008, 9 : 2321 - 2348
  • [47] PROBABILISTIC METRIC SPACED AND RANDOM VARIABLES
    CALABRES.PG
    NOTICES OF THE AMERICAN MATHEMATICAL SOCIETY, 1970, 17 (01): : 171 - &
  • [48] Probabilistic Modeling of Delays in Data Transmission Systems with Wireless Network Interfaces Employing Random Strings Function
    Topor-Kaminski, T.
    Grygiel, M.
    ACTA PHYSICA POLONICA A, 2013, 124 (03) : 578 - 581
  • [49] Is soil variation random?
    Webster, R
    GEODERMA, 2000, 97 (3-4) : 149 - 163
  • [50] Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics
    Bongini, Marco
    Freno, Antonino
    Laveglia, Vincenzo
    Trentin, Edmondo
    NEURAL PROCESSING LETTERS, 2018, 48 (02) : 733 - 768