Re: FFT result evaluation

From: Richard Mathar (mathar_at_amer.strw.leidenuniv.nl)
Date: 11/12/04

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    Date: Fri, 12 Nov 2004 20:12:42 +0000 (UTC)
    
    

    In article <cmsmtc$lv2$1@lnx107.hrz.tu-darmstadt.de>,
     "Alexander Rentschler" <arentschler@ew.tu-darmstadt.de> writes:
    >I have a signal with harmonics that are not integer multiples of the
    >fundamental frequency. So it is not possible to guarantee that the FFT -
    >Window get a full period of each harmonic of the analysed signal. The result
    >of the FFT is a distributed spectrum for each harmonic and it is not
    >possible to find out the correct magnitude of the harmonics. Is it possible
    >to calculate the correct signal magnitude from the distributed spectrum for
    >each harmonic ? I found a way to calculate the magnitude for each
    >distributed spectrum, but I don't find the correct mathematical description
    >for this problem. Has anybody an idea how to define this mathematically.
    >
    The FFT (or any other DFT) is covering a finite
    range in the time domain and equivalent to multiplication
    of the time series by a "boxcar" function. The standard
    convolution theorem of Fourier analysis describes
    this in the frequency domain as a convolution with
    the DFT of the boxcar, known as the sinc-function.
    To avoid that the convolution with the "negative" pieces
    of the oscillatory sinc-funcion in the frequency domain
    "removes" or partially "cancels" the area under the
    "correct" peak in the frequency domain, one usually
    modifies the boxcar function to "round up" the "sharp"
    edges in the time domain and avoid the Gibb's osciallations
    of the sinc-function; the keywords to search for
    these techniques are "apodisation", "Norton-Beer" ...
    This way one can to a good extend ensure that the
    area under the "dispersed" peaks in the frequency
    domain represents the original's series amplitudes.

    http://www.strw.leidenuniv.nl/~mathar


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