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Fractional bispectrum transform: definition and properties
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A signal with discrete frequency components has a zero bispectrum if no addition or subtraction of any of the frequencies equals one of the frequency components. The authors introduce the fractional bispectrum (FBS) transform in which for signals with zero bispectrum the FBS could be non‐zero. It is shown that FBS has the same property as the bispectrum for signals with a Gaussian probability density function (PDF). The FBS of a zero mean signal with a Gaussian PDF is zero. Therefore, it can be used to significantly reduce the Gaussian noise.
Institution of Engineering and Technology (IET)
Title: Fractional bispectrum transform: definition and properties
Description:
A signal with discrete frequency components has a zero bispectrum if no addition or subtraction of any of the frequencies equals one of the frequency components.
The authors introduce the fractional bispectrum (FBS) transform in which for signals with zero bispectrum the FBS could be non‐zero.
It is shown that FBS has the same property as the bispectrum for signals with a Gaussian probability density function (PDF).
The FBS of a zero mean signal with a Gaussian PDF is zero.
Therefore, it can be used to significantly reduce the Gaussian noise.
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