Memristive systems for analog signal processing

Due to their specific memory effects, memristive systems are potentially useful building blocks for innovative implementations of classical techniques of nonlinear analog signal processing. This paper discusses such properties of memristive systems which would amplify their usefulness in concrete applications. It turns out that systems behaving as ideal memristors may not be suitable candidates for such implementations. Attention is paid to a simple memristive system with threshold switching as a potentially useful building block for various analog applications.

[1]  Dalibor Biolek,et al.  Analytical Solution of Circuits Employing Voltage- and Current-Excited Memristors , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[2]  Klaus Witrisal,et al.  Memristor-based stored-reference receiver - the UWB solution? , 2009 .

[3]  Leon O. Chua,et al.  Memristor oscillators , 2008, Int. J. Bifurc. Chaos.

[4]  Dalibor Biolek,et al.  Frequency-domain steady-state analysis of circuits with mem-elements , 2011, 2011 7th International Conference on Electrical and Electronics Engineering (ELECO).

[5]  Massimiliano Di Ventra,et al.  Practical Approach to Programmable Analog Circuits With Memristors , 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.

[6]  J Joshua Yang,et al.  Memristive devices for computing. , 2013, Nature nanotechnology.

[7]  Mohammad Mahvash,et al.  A memristor SPICE model for designing memristor circuits , 2010, 2010 53rd IEEE International Midwest Symposium on Circuits and Systems.

[8]  Chuandong Li,et al.  Analog memristive memory with applications in audio signal processing , 2013, Science China Information Sciences.

[9]  Saha Gourav Theory of Memristive Controllers: Design and Stability Analysis for Linear Plants , 2011 .

[10]  Massimiliano Di Ventra,et al.  Experimental demonstration of associative memory with memristive neural networks , 2009, Neural Networks.

[11]  I. C. Goknar,et al.  New Memristor Applications: AM, ASK, FSK, and BPSK Modulators , 2013, IEEE Antennas and Propagation Magazine.

[12]  K.N. Salama,et al.  Non linear dynamics of memristor based 3rd order oscillatory system , 2012, Microelectron. J..

[13]  Kyoungrok Cho,et al.  Memristor-MOS analog correlator for pattern recognition system. , 2013, Journal of nanoscience and nanotechnology.

[14]  Farnood Merrikh-Bayat,et al.  Digital-to-analog and analog-to-digital conversion with metal oxide memristors for ultra-low power computing , 2013, 2013 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH).

[15]  Khaled N. Salama,et al.  A family of memristor‐based reactance‐less oscillators , 2014, Int. J. Circuit Theory Appl..

[16]  Y. Pershin,et al.  Second and higher harmonics generation with memristive systems , 2012, 1202.4727.

[17]  T. A. Wey,et al.  Amplitude modulator circuit featuring TiO2 memristor with linear dopant drift , 2009 .

[18]  Martin Klimo,et al.  Memristors can implement fuzzy logic , 2011, ArXiv.

[19]  György Elmer Possible application of memristors in ESD protection , 2013 .

[20]  Yiran Chen,et al.  Spintronic memristor based temperature sensor design with CMOS current reference , 2012, 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[21]  D. Biolek,et al.  Reliable SPICE Simulations of Memristors, Memcapacitors and Meminductors , 2013, 1307.2717.

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

[23]  Ronald Tetzlaff,et al.  Memristor-based filtering applications , 2013, 2013 14th Latin American Test Workshop - LATW.

[24]  Christofer Toumazou,et al.  High precision analogue memristor state tuning , 2012 .

[25]  Yogesh N. Joglekar,et al.  Fourier Response of a Memristor: Generation of High Harmonics With Increasing Weights , 2012, IEEE Transactions on Circuits and Systems II: Express Briefs.