Multidimensional Digital Signal Processing
Multidimensional Digital Signal Processing
Journal of Global Optimization
Design of variable and adaptive fractional order FIR differentiators
Signal Processing - Fractional calculus applications in signals and systems
Time domain design of fractional differintegrators using least-squares
Signal Processing - Fractional calculus applications in signals and systems
Differential evolution-based nonlinear system modeling using a bilinear series model
Applied Soft Computing
Fractional models for modeling complex linear systems under poor frequency resolution measurements
Digital Signal Processing
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Designing a fractional-order digital differentiator often requires considerably complex mathematical operations and numerical approximations. Thus this paper will propose a simple method to achieve the fractional-order digital differentiator design, particularly for two-dimensional fractional-order differentiators. A two-dimensional finite impulse response (FIR) digital filter structure is utilized and designed so that its corresponding magnitude response can satisfy that of a desired fractional-order differentiator of two variables. The algorithm used to design such two-dimensional digital differentiator is the differential evolution (DE), which is one of evolutionary computations and has excellent searching capacity. The efficiency of the proposed scheme can be confirmed by some illustrative examples.