This paper introduces all the possible topologies of the Wien bridge oscillator family
Comparison between three approximation methods on oscillator circuits
The promising capabilities of fractional-order devices challenge researchers to find a way to build it physically
On the Approximations of CFOA-Based Fractional-Order Inverse Filters
In this paper, three novel fractional-order CFOA-based inverse filters are introduced
Two implementations of fractional-order relaxation oscillators
This work proposes general formulas for designing two different topologies of fractional-order relaxation oscillators
Programmable constant phase element realization with crossbar arrays
Introduction: Constant Phase Elements (CPEs) have been widely used in many applications due to the extra degree of freedom, which offers new responses and behaviors
Comprehensive comparison based on meta-heuristic algorithms for approximation of the fractional-order Laplacian s ? as a weighted sum of first-order high-pass filters
To implement an approximation of the fractional order Laplacian operator s ? as a weighted sum of high pass filter sections, it is essential to extract the cutoff frequencies and filter gains of each section in order to achieve the lowest error possible
FPGA implementation of sound encryption system based on fractional-order chaotic systems
2019Abd El-Kader A.A.Abd El-Maksoud A.J.Abu-Elyazeed M.F.Hassan B.G.JournalRadwan A.G.Rihan N.G.Said L.A.Tolba M.F.
This paper introduces design and FPGA implementation of sound encryption system based on a fractional-order chaotic system
A Modified Differentiator Circuit for Extracting Cole-Impedance Model Parameters Using Meta-heuristic Optimization Algorithms
A differentiator-based set up is proposed as an alternative solution to measure bio-impedance
Effect of Different Approximation Techniques on Fractional-Order KHN Filter Design
Having an approximate realization of the fractance device is an essential part of fractional-order filter design and implementation
Biological inspired optimization algorithms for cole-impedance parameters identification
This paper introduces new meta-heuristic optimization algorithms for extracting the parameters of the Cole-impedance model