• DocumentCode
    3377532
  • Title

    Improved Frequency Resolution DFT Eases Teaching FFT Analysis and Provides Better Amplitude Accuracy

  • Author

    Keradec, Jean Pierre ; Margueron, Xavier

  • Author_Institution
    Lab. d´´Electrotechnique de Grenoble, Saint-Martin-d´´Heres
  • Volume
    2
  • fYear
    2005
  • fDate
    16-19 May 2005
  • Firstpage
    1149
  • Lastpage
    1154
  • Abstract
    For a signal extension T, DFT and FFT calculate the transform at frequencies 1/T apart. Due to this, amplitude of the transform can show more than 36% of discrepancy relatively to exact analytical Fourier transform and this disagreement looks random. Calculating the transform with a frequency resolution 7 times thinner lowers this difference to within 1%. As a result, obtained spectrums are easier to explain. This high resolution spectrum can be obtained either directly from time file or by interpolating frequency file that results from standard calculation. Both algorithms are supplied and spectrums of simple signals, obtained with standard and improved resolution, are compared
  • Keywords
    design for testability; fast Fourier transforms; interpolation; spectral analysis; FFT analysis; design for testability; fast Fourier transforms; signal extension; Discrete Fourier transforms; Education; Embedded software; Fourier transforms; Frequency; Oscilloscopes; Power engineering and energy; Signal resolution; Software algorithms; Spectral analysis; DFT calculation; Fourier Transform; high resolution spectrum; student experimentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
  • Conference_Location
    Ottawa, Ont.
  • Print_ISBN
    0-7803-8879-8
  • Type

    conf

  • DOI
    10.1109/IMTC.2005.1604324
  • Filename
    1604324