• DocumentCode
    2237276
  • Title

    The Theory and Realization of Signal Reconstruction

  • Author

    He Yangming ; Dai Shuguang

  • Author_Institution
    Coll. of Opt. & Electron., ShangHai Univ. for Sci. & Technol., ShangHai, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    707
  • Lastpage
    709
  • Abstract
    According to sampling theorem, if the sampling frequency is more than twice of maximum frequency of signal, the original signal can be regained. And it is often half past twice or so of maximum frequency of signal. But under this sampling frequency, the waveform of sampled signal is deformed seriously. But if the signal is sampled with too large frequency, it would need too much memory. It is a contradiction between perfect waveform and memory. This paper discusses the principle of reconstructing the original signal from the sampled signal. And the kernel codes of the program are shown, too. This method can achieve the performance of using the minimum memory to get maximum information of signal. Through emulation in MATLAB, this method is proved to be highly effective.
  • Keywords
    codes; signal reconstruction; signal sampling; MATLAB; kernel codes; sampled signal; sampling frequency; sampling theorem; signal maximum information; signal reconstruction; Educational institutions; Emulation; Frequency conversion; Helium; Information science; Kernel; MATLAB; Sampling methods; Signal reconstruction; Signal restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.1302
  • Filename
    5455713