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Novel fractional scaled Wigner distribution using fractional instantaneous autocorrelation
by
Dar, Javid G.
, Alshanbari, Huda M.
, Alaziz, Sundus N.
, Dar, Aamir H.
in
Autocorrelation
/ Computer Imaging
/ Computer Science
/ Fourier transforms
/ Image Processing and Computer Vision
/ Multimedia Information Systems
/ Original Paper
/ Pattern Recognition and Graphics
/ Signal processing
/ Signal,Image and Speech Processing
/ Vision
/ Wigner distribution
2024
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Novel fractional scaled Wigner distribution using fractional instantaneous autocorrelation
by
Dar, Javid G.
, Alshanbari, Huda M.
, Alaziz, Sundus N.
, Dar, Aamir H.
in
Autocorrelation
/ Computer Imaging
/ Computer Science
/ Fourier transforms
/ Image Processing and Computer Vision
/ Multimedia Information Systems
/ Original Paper
/ Pattern Recognition and Graphics
/ Signal processing
/ Signal,Image and Speech Processing
/ Vision
/ Wigner distribution
2024
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Do you wish to request the book?
Novel fractional scaled Wigner distribution using fractional instantaneous autocorrelation
by
Dar, Javid G.
, Alshanbari, Huda M.
, Alaziz, Sundus N.
, Dar, Aamir H.
in
Autocorrelation
/ Computer Imaging
/ Computer Science
/ Fourier transforms
/ Image Processing and Computer Vision
/ Multimedia Information Systems
/ Original Paper
/ Pattern Recognition and Graphics
/ Signal processing
/ Signal,Image and Speech Processing
/ Vision
/ Wigner distribution
2024
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Novel fractional scaled Wigner distribution using fractional instantaneous autocorrelation
Journal Article
Novel fractional scaled Wigner distribution using fractional instantaneous autocorrelation
2024
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Overview
The traditional scaled Wigner distribution (SWD) is extended to a novel one inspired by merits of fractional instantaneous autocorrelation present in the definition of fractional bi-spectrum and the fractional Fourier transform (FrFT). We begin by examining the basic characteristics of the novel fractional scaled Wigner distribution (Fr-SWD), such as its nonlinearity, marginality, shifting, conjugate symmetry, and antiderivative nature. Following that, a thorough analysis of Moyal’s formula is also conducted. The proposed distribution is used to detect both single-component and multi-component linear frequency-modulated signals in order to demonstrate its effectiveness. The results of the simulation clearly show that the novel fractional scaled Wigner distribution performs exceptionally well in comparison with the conventional Wigner distribution and its scaled version.
Publisher
Springer London,Springer Nature B.V
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