Image stabilization using memristors

The memristor is the fundamental non-linear circuit element, with uses in computing and computer memory. ReRAM (Resistive Random Access Memory) is a resistive switching memory proposed as a nonvolatile memory. In this review we shall summarise the state of the art for these closely-related fields, concentrating on titanium dioxide, the well-utilised and archetypal material for both. We shall cover material properties, switching mechanisms and models to demonstrate what ReRAM and memristor scientists can learn from each other and examine the outlook for these technologies.

show abstract

“…[55][56][57][58][59][60]), vision processors (e.g. [25,[61][62][63][64]) and robot control (e.g. [50,65,66]) to name a few.…”

Section: Methodsmentioning

confidence: 99%

TiO₂-based memristors and ReRAM: materials, mechanisms and models (a review)

Gale

2014

Semicond. Sci. Technol.

156

View full text Add to dashboard Cite

show abstract

“…Using (28) to solve system (25) and substituting from the results in (26), we get the following conditions to remove the secular terms…”

Section: The Normal Form Of Case 1 Of Ring Model Using the Substitutmentioning

confidence: 99%

“…Studies on the dynamical properties, i.e., stability and bifurcation of the memristor-based oscillator circuit, have received increasing interest [18][19][20][21]. The main reason is that coupled memristorbased oscillatory circuits appear in many applications such as filtering, energy storage, energy transmission, isolation impedance transformation, learning networks that require a synapse-like function, secure communications, and image stabilization [22][23][24][25][26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Dynamical Behaviors of Coupled Memristor-Based Oscillators with Identical and Different Nonlinearities

Elsonbaty

Abdelkhalek

Elsaid

2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In this work, the interesting dynamics of coupled nonlinear memristor-based oscillators in ring configuration are explored. The mathematical models are derived to describe the possible cases of employing identical or different nonlinearities. Analytical and numerical techniques, involving perturbation methods, normal forms, phase portraits, and Lyapunov exponents are used to investigate various types of dynamical behaviors along with their stability regions in parameters space. The effects of time-delayed coupling on the proposed system are numerically studied. It is demonstrated that the coupled oscillators show rich dynamics including periodic orbits, quasiperiodicity, two-dimensional, and three-dimensional tori.

show abstract

“…Apart from the interesting fundamental study of the dynamic behavior of nonlinear systems, the field of applications of such circuits also includes secure communication schemes with chaos based on memristors [18], the image stabilization [41] and image encryption technique by using memristors [42].…”

Section: • Quantum Computing With Memory Circuit Elementsmentioning

confidence: 99%

Memristor: A New Concept in Synchronization of Coupled Neuromorphic C ircuits

Volos¹,

Kyprianidis²,

Stouboulos³

et al. 2015

JESTR

128

View full text Add to dashboard Cite

The existence of the memristor, as a fourth fundamental circuit element, by researchers at Hewlett Packard (HP) labs in 2008, has attracted much interest since then. This occurs because the memristor opens up new functionalities in electronics and it has led to the interpretation of phenomena not only in electronic devices but also in biological systems. Furthermore, many research teams work on projects, which use memristors in neuromorphic devices to simulate learning, adaptive and spontaneous behavior while other teams on systems, which attempt to simulate the behavior of biological synapses. In this paper, the latest achievements and applications of this newly development circuit element are presented. Also, the basic features of neuromorphic circuits, in which the memristor can be used as an electrical synapse, are studied. In this direction, a flux-controlled memristor model is adopted for using as a coupling element between coupled electronic circuits, which simulate the behavior of neuron-cells. For this reason, the circuits which are chosen realize the systems of differential equations that simulate the well-known Hindmarsh-Rose and FitzHugh-Nagumo neuron models. Finally, the simulation results of the use of a memristor as an electric synapse present the effectiveness of the proposed method and many interesting dynamic phenomena concerning the behavior of coupled neuron-cells.

show abstract

Image stabilization using memristors

Cited by 5 publications

References 4 publications

TiO₂-based memristors and ReRAM: materials, mechanisms and models (a review)

TiO₂-based memristors and ReRAM: materials, mechanisms and models (a review)

Dynamical Behaviors of Coupled Memristor-Based Oscillators with Identical and Different Nonlinearities

Memristor: A New Concept in Synchronization of Coupled Neuromorphic C ircuits

Contact Info

Product

Resources

About

Image stabilization using memristors

Cited by 5 publications

References 4 publications

TiO2-based memristors and ReRAM: materials, mechanisms and models (a review)

TiO2-based memristors and ReRAM: materials, mechanisms and models (a review)

Dynamical Behaviors of Coupled Memristor-Based Oscillators with Identical and Different Nonlinearities

Memristor: A New Concept in Synchronization of Coupled Neuromorphic C ircuits

Contact Info

Product

Resources

About

TiO₂-based memristors and ReRAM: materials, mechanisms and models (a review)

TiO₂-based memristors and ReRAM: materials, mechanisms and models (a review)