Hypercomplex spectral transformations
Hypercomplex spectral transformations
Multi-Dimensional Signal Processin Using an Algebraically Extended Signal Representation
AFPAC '97 Proceedings of the International Workshop on Algebraic Frames for the Perception-Action Cycle
Digital computation of the fractional Fourier transform
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Generalized Hilbert transform and its properties in 2D LCT domain
Signal Processing
New inequalities and uncertainty relations on linear canonical transform revisit
EURASIP Journal on Advances in Signal Processing
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The concept of fractional quaternion Fourier transform (FRQFT) is defined in this paper, and the reversibility property, linear property, odd-even invariant property, additivity property and other properties are presented. Meanwhile, the fractional quaternion convolution (FRQCV), fractional quaternion correlation (FRQCR) and product theorem are deduced, and their physical interpretations are given as classical convolution, correlation and product theorem. Moreover, the fast algorithms of FRQFT (FFRQFT) are yielded as well. In addition, we have discovered the relationship between the convolution and correlation in the FRQFT domain, so that the convolution and correlation can be implemented via product theorem in the Fourier transform domain using fast Fourier transform (FFT). Our paper proved that the computation complexities of FRQFT, FRQCV and FRQCR are similar to FFT.