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Two-dimensional Fourier series-based model for nonminimum-phase linear shift-invariant systems and texture image classification
IEEE Transactions on Signal Processing
In this paper, Chi's real one-dimensional (1-D) parametric nonminimum-phase Fourier series-based model (FSBM) is extended to two-dimensional (2-D) FSBM for a 2-D nonminimumphase linear shift-invariant system by using finite 2-D Fourier series approximations to its amplitude response and phase response, respectively. The proposed 2-D FSBM is guaranteed stable, and its complex cepstrum can be obtained from its amplitude and phase parameters through a closed-form formula without involvingdoi:10.1109/78.992144 fatcat:flzspf3njbcwjdsmax4kyku3le