Ortigueira, MD.
2008.
Fractional Central Differences and Derivatives. Journal of Vibration and Control. 14:1255–1266., Number 9-10
AbstractFractional central differences and derivatives are studied in this article. These are generalisations to real orders of the ordinary positive (even and odd) integer order differences and derivatives, and also coincide with the well known Riesz potentials. The coherence of these definitions is studied by applying the definitions to functions with Fourier transformable functions. Some properties of these derivatives are presented and particular cases studied.
Matos, C, Ortigueira MD.
2010.
Fractional Filters: An Optimization Approach. Emerging Trends in Technological Innovation. 314:361–366.
AbstractThe design and optimization of fractional filters is considered in this paper. Some of the classic filter architectures are presented and their performances relatively to an ideal amplitude spectrum evaluated. The fractional filters are designed using the differential evolution optimization algorithm for computing their parameters. To evaluate the performances of all the filters the quadratic error between the computed amplitude is calculated against an ideal (goal) response. The fractional filters have a better behavior, both in the pass and reject-band.
Ortigueira, MD, Batista AG.
2004.
A Fractional Linear System View of the Fractional Brownian Motion, December. Nonlinear Dynamics. 38:295–303., Number 1-4: Springer
AbstractA definition of the fractional Brownian motion based on the fractional differintegrator characteristics is proposed and studied. It is shown that the model enjoys the usually required properties. A discrete-time version based in the backward difference and in the bilinear transformation is considered. Some results are presented.
Ortigueira, MD.
2010.
The fractional quantum derivative and its integral representations? Communications in Nonlinear Science and Numerical Simulation. 15:956–962., Number 4: Elsevier B.V.
AbstractThe quantum fractional derivative is defined using formulations analogue to the common Grünwald?Letnikov derivatives. While these use a linear variable scale, the quantum derivative uses an exponential scale and is defined in R? or R?. Two integral formulations similar to the usual Liouville derivatives are deduced with the help of the Mellin transform.
Ortigueira, MD.
2011.
The Fractional Quantum Derivative and the Fractional Linear Scale Invariant Systems. Fractional Calculus for Scientists and Engineers. 84:123–144.: Springer-Verlag
AbstractThe normal way of introducing the notion of derivative is by means of the limit of an incremental ratio that can assume three forms, depending the used translations as we saw in Chaps. 1 and 4. On the other hand, in those derivatives the limit operation is done over a set of points uniformly spaced: a linear scale was used. Here we present an alternative derivative, that is valid only for t {\ensuremath{>}} 0 or t {\ensuremath{<}} 0 and uses an exponential scale
Ortigueira, MD, Coito F.
2004.
From Differences to Derivatives. Fractional Calculus and Applied Analysis. 7:459., Number 4: INSTITUTE OF MATHEMATICS AND INFORMATICS BULGARIAN ACADEMY OF SCIENCES
Abstract