Study of Sallen–Key digital filters in nuclear pulse signal processing

被引:0
|
作者
Huai-Qiang Zhang
Bin Tang
He-Xi Wu
Zhuo-Dai Li
机构
[1] East China University of Technology,Fundamental Science on Radioactive Geology and Exploration Technology Laboratory
[2] East China University of Technology,School of Nuclear Science and Engineering
来源
关键词
Digital Sallen–Key; Amplitude–frequency response; Gaussian shaping; Energy resolution;
D O I
暂无
中图分类号
学科分类号
摘要
The Sallen–Key filter (S–K) is widely used in nuclear pulse signal processing because of its simple working principle and good performance. Related research has only reviewed the recursive numerical model of digital S–K using idealized parameters. The use of digital S–K thus has limitations under these circumstances. This paper comprehensively deduces a recursive numerical model of digital S–K and discusses the effects of resistance and capacitance on the filter quality factor, cutoff frequency and amplitude–frequency response. The numerical recursive function, transfer function and amplitude–frequency response are analyzed using different parameters. From a comparative analysis of the shaper in a simulation and an actual nuclear signal, an optimal parameter selection principle is obtained. Using different forming parameters, the energy resolution and pulse counting rate of the 55\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^{55}$$\end{document}Fe energy spectrum are compared and analyzed based on a Si-PIN detector. Capacitance has a stronger influence on the Gaussian shape, whereas the influence of resistance is stronger on the shaping amplitude.
引用
收藏
相关论文
共 50 条
  • [31] VHDL Design of Digital Adaptive Filters for PANDA Signal Processing
    Greco, M.
    Bussa, M. P.
    Destefanis, M.
    Maggiora, M.
    Spataro, S.
    2012 18TH IEEE-NPSS REAL TIME CONFERENCE (RT), 2012,
  • [32] Tunable and variable passive digital filters for multimedia signal processing
    Kwan, HK
    PROCEEDINGS OF 2001 INTERNATIONAL SYMPOSIUM ON INTELLIGENT MULTIMEDIA, VIDEO AND SPEECH PROCESSING, 2001, : 229 - 232
  • [33] Integrating the courses of digital electronics and signal processing by median filters
    Koljonen, J
    Alander, JT
    NORSIG 2004: PROCEEDINGS OF THE 6TH NORDIC SIGNAL PROCESSING SYMPOSIUM, 2004, 46 : 240 - 243
  • [34] Design of MAC unit for digital filters in signal processing and communication
    Basavoju Harish
    M. S. S. Rukmini
    K. Sivani
    International Journal of Speech Technology, 2022, 25 : 561 - 565
  • [35] DIGITAL SIGNAL-PROCESSING .1. DIGITAL-FILTERS AND THE DFT
    GRANT, PM
    ELECTRONICS & COMMUNICATION ENGINEERING JOURNAL, 1993, 5 (01): : 13 - 24
  • [36] DIGITAL-FILTERS CAN SIMPLIFY SIGNAL-PROCESSING
    EDWARDS, G
    ELECTRONIC ENGINEERING, 1976, 48 (580): : 53 - 55
  • [37] VARIABLE DIGITAL-FILTERS FOR AUDIO SIGNAL-PROCESSING
    GOCKLER, H
    NTZ ARCHIV, 1985, 7 (03): : 47 - 57
  • [38] A Novel Digital Pulse Processing Architecture for Nuclear Instrumentation
    Moline, Y.
    Thevenin, M.
    Corre, G.
    Paindavoine, M.
    2015 4TH INTERNATIONAL CONFERENCE ON ADVANCEMENTS IN NUCLEAR INSTRUMENTATION MEASUREMENT METHODS AND THEIR APPLICATIONS (ANIMMA), 2015,
  • [39] Digital Pulse Processing: A New Paradigm For Nuclear Instrumentation
    Ribas, R. V.
    XXXII BRAZILIAN WORKSHOP ON NUCLEAR PHYSICS, 2010, 1245 : 39 - 44
  • [40] Digital pulse processing: new possibilities in nuclear spectroscopy
    Warburton, WK
    Momayezi, M
    Hubbard-Nelson, B
    Skulski, W
    APPLIED RADIATION AND ISOTOPES, 2000, 53 (4-5) : 913 - 920