Efficiency Estimation of the Noise Digital Filtering Algorithms

被引：0
|
作者：
Varshavskiy, Ilyas E. [1 ]
Krasnova, Anastasiia I. [1 ]
Polivanov, Vladimir V. [1 ]
机构：
[1] St Petersburg Electrotech Univ LETI, Dept Informat Measuring Syst & Technol IMST, St Petersburg, Russia
来源：
PROCEEDINGS OF THE 2019 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS) | 2019年
关键词：
digital filtration algorithms; median filtration; simple moving average; exponential moving average; fluctuating; pulsed and quasi-harmonic types of noise; simulation modeling;
D O I：
10.1109/eiconrus.2019.8656672
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 results of estimating the efficiency of digital filtration algorithms (median filtration, simple moving average and exponential moving average) by simulation under the influence of various types of noise (fluctuating, pulse and quasi-harmonic) are presented. As an estimation of efficiency, the attenuation coefficient as the ratio of the noise standard deviation at the input and output of the filters is used. The quantitative estimates of efficiency for various algorithms and their parameters, recommendations on the application of algorithms and the choice of their parameters are presented.
引用
收藏
页码：724 / 727
页数：4
相关论文
共 50 条
  • [21] Digital filtering for noise reduction in nuclear detectors
    Alberto, D.
    Bussa, M. P.
    Falletti, E.
    Ferrero, L.
    Garello, R.
    Grasso, A.
    Greco, M.
    Maggiora, M.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2008, 594 (03): : 382 - 388
  • [22] REMOVAL OF NOISE IN MEFV CURVES BY DIGITAL FILTERING
    BRUCE, EN
    JACKSON, AC
    FEDERATION PROCEEDINGS, 1978, 37 (03) : 866 - 866
  • [23] Extensive Representations and Algorithms for Nonlinear Filtering and Estimation
    Stump, Ethan
    Grocholsky, Ben
    Kumar, Vijay
    ALGORITHMIC FOUNDATION OF ROBOTICS VII, 2008, 47 : 169 - +
  • [24] Estimation of Noise in Digital Image
    Karibasappa, K. G.
    Karibasappa, K.
    COMPUTATIONAL INTELLIGENCE IN DATA MINING, CIDM 2016, 2017, 556 : 89 - 100
  • [25] Class Noise Detection Using Classification Filtering Algorithms
    Nematzadeh, Zahra
    Ibrahim, Roliana
    Selamat, Ali
    COMPUTATIONAL INTELLIGENCE IN INFORMATION SYSTEMS, CIIS 2016, 2017, 532 : 121 - 130
  • [26] Smoothing algorithms of the dynamic noise estimation
    Qin, Chaoying
    Dai, Guanzhong
    Kong Zhi Li Lun Yu Ying Yong/Control Theory and Applications, 1993, 10 (02):
  • [27] A method for estimation and filtering of Gaussian noise in images
    Russo, F
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2003, 52 (04) : 1148 - 1154
  • [28] A method for estimation and filtering of Gaussian noise in images
    Russo, F
    IMTC 2002: PROCEEDINGS OF THE 19TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1 & 2, 2002, : 1689 - 1694
  • [29] ROBUST ESTIMATION AND FILTERING IN THE PRESENCE OF BOUNDED NOISE
    TEMPO, R
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1988, 33 (09) : 864 - 867
  • [30] Shaping efficiency using digital algorithms
    Williams, David
    Electronic Products (Garden City, New York), 2010, 52 (08):
12345