TY - JOUR
T1 - The multiple-parameter fractional Fourier transform
AU - Lang, Jun
AU - Tao, Ran
AU - Ran, Qi Wen
AU - Wang, Yue
PY - 2008/8
Y1 - 2008/8
N2 - The fractional Fourier transform (FRFT) has multiplicity, which is intrinsic in fractional operator. A new source for the multiplicity of the weight-type fractional Fourier transform (WFRFT) is proposed, which can generalize the weight coefficients of WFRFT to contain two vector parameters m,n ∈ ℤM. Therefore a generalized fractional Fourier transform can be defined, which is denoted by the multiple-parameter fractional Fourier transform (MPFRFT). It enlarges the multiplicity of the FRFT, which not only includes the conventional FRFT and general multi-fractional Fourier transform as special cases, but also introduces new fractional Fourier transforms. It provides a unified framework for the FRFT, and the method is also available for fractionalizing other linear operators. In addition, numerical simulations of the MPFRFT on the Hermite-Gaussian and rectangular functions have been performed as a simple application of MPFRFT to signal processing.
AB - The fractional Fourier transform (FRFT) has multiplicity, which is intrinsic in fractional operator. A new source for the multiplicity of the weight-type fractional Fourier transform (WFRFT) is proposed, which can generalize the weight coefficients of WFRFT to contain two vector parameters m,n ∈ ℤM. Therefore a generalized fractional Fourier transform can be defined, which is denoted by the multiple-parameter fractional Fourier transform (MPFRFT). It enlarges the multiplicity of the FRFT, which not only includes the conventional FRFT and general multi-fractional Fourier transform as special cases, but also introduces new fractional Fourier transforms. It provides a unified framework for the FRFT, and the method is also available for fractionalizing other linear operators. In addition, numerical simulations of the MPFRFT on the Hermite-Gaussian and rectangular functions have been performed as a simple application of MPFRFT to signal processing.
KW - Multiple-parameter fractional Fourier transform
KW - Multiplicity of the fractional Fourier transform
KW - Signal processing
KW - Weight-type fractional Fourier transform
UR - https://www.scopus.com/pages/publications/46749124600
U2 - 10.1007/s11432-008-0073-6
DO - 10.1007/s11432-008-0073-6
M3 - Article
AN - SCOPUS:46749124600
SN - 1009-2757
VL - 51
SP - 1010
EP - 1024
JO - Science in China, Series F: Information Sciences
JF - Science in China, Series F: Information Sciences
IS - 8
ER -