Mathematical modelling and digital simulation for engineers and scientists (2nd ed.)
Mathematical modelling and digital simulation for engineers and scientists (2nd ed.)
Digital filter design
Digital signal processing (3rd ed.): principles, algorithms, and applications
Digital signal processing (3rd ed.): principles, algorithms, and applications
Matrix computations (3rd ed.)
Analysis and design of fractional-order digital control systems
Systems Analysis Modelling Simulation
Statistical Digital Signal Processing and Modeling
Statistical Digital Signal Processing and Modeling
A new IIR-type digital fractional order differentiator
Signal Processing - Special issue: Fractional signal processing and applications
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Digital Signal Processing
Iterative design of variable fractional-order IIR differintegrators
Signal Processing
Design of fractional order digital differentiator using radial basis function
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Studies on fractional order differentiators and integrators: A survey
Signal Processing
Fuzzy reasoning in fractional-order PD controllers
AIC'10/BEBI'10 Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics
An application of fractional differintegration to heart rate variability time series
Computer Methods and Programs in Biomedicine
Mathematics and Computers in Simulation
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In this paper we propose the use of the least-squares based methods for obtaining digital rational approximations (IIR filters) to fractional-order integrators and differentiators of type sα, α ∈ R. Adoption of the Padé, Prony and Shanks techniques is suggested. These techniques are usually applied in the signal modeling of deterministic signals. These methods yield suboptimal solutions to the problem which only requires finding the solution of a set of linear equations. The results reveal that the least-squares approach gives similar or superior approximations in comparison with other widely used methods. Their effectiveness is illustrated, both in the time and frequency domains, as well in the fractional differintegration of some standard time domain functions.