Analytical representation of the density function of normal distribution of noise

被引：0
|
作者：
Aliev, T.A. [1 ]
Musaeva, N.F. [2 ]
Suleymanova, M.T. [2 ]
Gazizade, B.I. [2 ]
机构：
[1] Institute of Control Problems of National Academy of Sciences of Azerbaijan, Baku, Azerbaijan
[2] Institute of Control Systems of National Academy of Sciences of Azerbaijan, Baku, Azerbaijan
来源：
Journal of Automation and Information Sciences | 2015年 / 47卷 / 08期
关键词：
Compendex;
D O I：
10.1615/JAutomatInfScien.v47.i8.30
中图分类号：
学科分类号：
摘要：
Normal distribution
引用
收藏
页码：24 / 40
相关论文
共 50 条
  • [31] Fuzzy reliability analysis based on probability density function equivalent
    An, Hai
    An, Weiguang
    Zhou, Ling
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2009, 30 (05): : 886 - 894
  • [32] A high power density single rectifier with power decoupling function
    Li, Hongbo
    Zhang, Kai
    Zhao, Hui
    Xiong, Jian
    Kang, Yong
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2011, 26 (SUPPL. 1): : 77 - 82
  • [33] Note on the unbiased estimation of a function of the parameter of the geometric distribution
    Mathematics Department, Occidental College, Los Angeles, CA 90041, United States
    Int. J. Appl. Math. Stat., 3 (1-7):
  • [34] Polarimetric bidirectional reflectance distribution function of glossy coatings
    J Opt Soc Am A, 8 (1758):
  • [35] Properties of Low Density PE Melts as a Function of Temperature.
    Filzek, P.
    Sueselbeck, R.
    Wicke, W.
    1600, (27):
  • [36] CURRENT-DENSITY DISTRIBUTION IN A LONG CYLINDRICAL THERMIONIC CONVERTER.
    Volkov, A.D.
    Lukovenko, V.I.
    Shorina, L.M.
    Shcherbinin, P.P.
    1600, (22):
  • [37] Application of generative deep learning models for approximation of mage distribution density
    Yashchenko, A., V
    Potapov, A. S.
    Rodionov, S. A.
    Zhdanov, I. N.
    Shcherbakov, O., V
    Peterson, M., V
    JOURNAL OF OPTICAL TECHNOLOGY, 2019, 86 (12) : 769 - 773
  • [38] Noise exposure, monitoring and tracking performance as a function of signal bias and task priority
    Loeb, M.
    Jones, P.D.
    1600, (21):
  • [39] Process intensification of continuous emulsion polymerization of vinyl acetate by a method of function module representation
    Department of Chemical Science and Engineering, Graduate School of Engineering, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe-shi, Hyougo 657-8501, Japan
    Kagaku Kogaku Ronbunshu, 2 (134-139):
  • [40] INTENSITY DISCRIMINATION OF BAND-NOISE SIGNALS AS A FUNCTION OF THEIR DURATIONS AND BANDWIDTHS.
    Majernik, V.
    Konecny, M.
    Nehnevaj, D.
    1978, 39 (02): : 117 - 122
12345