Memristive crossbar array with applications in image processing

A memristor is a kind of nonlinear resistor with memory capacity. Its resistance changes with the amount of charge or flux passing through it. As the fourth fundamental circuit element, it has huge potential applications in many fields, and has been expected to drive a revolution in circuit theory. Through numerical simulations and circuitry modeling, the basic theory and properties of memristors are analyzed, and a memristorbased crossbar array is then proposed. The array can realize storage and output for binary, grayscale and color images. A series of computer simulations demonstrates the effectiveness of the proposed scheme. Owing to the advantage of the memristive crossbar array in parallel information processing, the proposed method is expected to be used in high-speed image processing.

[1]  A. Ayatollahi,et al.  Implementation of biologically plausible spiking neural network models on the memristor crossbar-based CMOS/nano circuits , 2009, 2009 European Conference on Circuit Theory and Design.

[2]  L.O. Chua,et al.  Memristive devices and systems , 1976, Proceedings of the IEEE.

[3]  D. L. Staebler,et al.  Electrocoloration in SrTiO3: Vacancy Drift and Oxidation-Reduction of Transition Metals , 1971 .

[4]  P. Vontobel,et al.  Writing to and reading from a nano-scale crossbar memory based on memristors , 2009, Nanotechnology.

[5]  Chua.  Memristor-The Missing Circuit Element LEON 0 , 1971 .

[6]  W. Lu,et al.  High-density Crossbar Arrays Based on a Si Memristive System , 2008 .

[7]  J. Yang,et al.  Memristive switching mechanism for metal/oxide/metal nanodevices. , 2008, Nature nanotechnology.

[8]  R. McCreery,et al.  Solid-State Electrochemistry in Molecule/TiO 2 Molecular Heterojunctions as the Basis of the TiO 2 "Memristor" , 2009 .

[9]  K. Teska.  Invention: the pitfalls of patent searches knowing about , 2008, IEEE Spectrum.

[10]  Wei Zhao,et al.  A scanning probe microscopy based assay for single-walled carbon nanotube metallicity. , 2009, Nano letters.

[11]  Yudong Zhang,et al.  Color image enhancement based on HVS and PCNN , 2010, Science China Information Sciences.

[12]  R. Williams,et al.  How We Found The Missing Memristor , 2008, IEEE Spectrum.

[13]  Dalibor Biolek,et al.  SPICE Model of Memristor with Nonlinear Dopant Drift , 2009 .

[14]  K. Eshraghian,et al.  The fourth element: characteristics, modelling and electromagnetic theory of the memristor , 2010, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[15]  N. Tulina,et al.  Reproducible resistive switching effect for memory applications in heterocontacts based on strongly correlated electron systems , 2008 .

[16]  Wei Yang Lu,et al.  Nanoscale memristor device as synapse in neuromorphic systems. , 2010, Nano letters.

[17]  Samiha Mourad,et al.  Digital Logic Implementation in Memristor-Based Crossbars - A Tutorial , 2010, 2010 Fifth IEEE International Symposium on Electronic Design, Test & Applications.

[18]  Hsien-Hsin S. Lee,et al.  Architectural evaluation of 3D stacked RRAM caches , 2009, 2009 IEEE International Conference on 3D System Integration.