Fractional quaternion Fourier transform, convolution and correlation
Signal Processing
Parameter estimation of 2-D random amplitude polynomial-phasesignals
IEEE Transactions on Signal Processing
Two-dimensional affine generalized fractional Fourier transform
IEEE Transactions on Signal Processing
Hypercomplex signals-a novel extension of the analytic signal tothe multidimensional case
IEEE Transactions on Signal Processing
The complex bidimensional empirical mode decomposition
Signal Processing
On analysis of bi-dimensional component decomposition via BEMD
Pattern Recognition
Multi-channel filter banks associated with linear canonical transform
Signal Processing
International Journal of Data Analysis Techniques and Strategies
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Hilbert transform plays an important role in signal processing. With the development of new transforms, one-dimensional (1D) Hilbert transform has been extended into fractional Fourier transform domain. However, the researches of two-dimensional (2D) Hilbert transform in linear canonical transform (LCT) domain become complicated for the reasons of the complexity of 2D signals and more parameters in LCT, and now they are in the infancy. In this paper, the definitions of half-planed Hilbert transform, cross-orthant Hilbert transform and single-orthant Hilbert transform are yielded in LCT domain. In addition, the relation between time domain and transformed domain is discussed. Moreover, some important properties and conclusions are obtained as well. Finally, we defined and derived 2D Bedrosian's principle in LCT domain.