Abstract
Memristor, a two-terminal device with dynamic conductance depending on the charge or the flux flowing it was predicted by Leon Chua about four decades ago and named the fourth fundamental circuit element. In 2008, Hewlett Packard (HP) laboratory announced they have found the missing memristor in nano-scale physical device. Since that memristor has garnered extensive interests among numerous researchers and proposed in many applications. In this paper, an implement scheme of a memristive multilevel memory with a single unit storing a bit multilevel information (several bits of binary data) is presented. A record/play system with the memristive multilevel memory is designed as an application in audio signal storage. Due to the multilevel memory ability and nano-scale size of the memristor, this design possesses simpler, smaller circuit structure, greater data density and nonvolatile. A series of computer simulations verify the effectiveness of the memristive memory and provide a new solution for audio signal storage and processing.
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References
Chua, L.O.: Memristor - the Missing Circuit Element. IEEE Trans. Circuit Theory 18, 507–519 (1971)
Strukov, D.B., Snider, G.S., Stewart, D.R., Williams, R.S.: The Missing Memristor Found. Nature 453, 80–83 (2008)
Williams, R.S.: How We Found the Missing Memristor. IEEE Spectrum 45, 507–519 (2008)
Vontobel, P.O., Robinett, W., et al.: Writing to and Reading from A Nano-scale Crossbar Memory Based on Memristors. Nanotechnology 20, 425204_1–425204_21 (2009)
Jo, S.H., Chang, T., Ebong, I., et al.: Nanoscale Memristor Device as Synapse in Neuromorphic Systems. Nano. Lett. 10, 1297–1301 (2010)
Muthuswamy, B.: Memristor Based Chaotic Circuits. IETE Technical Review 26, 417–429 (2009)
Borghetti, J., Snider, G.S., Kuekes, P.J., et al.: ‘Memristive’ Switches Enable ‘Stateful’ Logic Operations via Material Implication. Nature 464, 873–876 (2010)
Hu, X.F., Duan, S.K., Wang, L.D., Liao, X.F.: Memristive Crossbar Array with Applications in Image Processing. Sci. China Inf. Sci. 41, 500–512 (2011) (in Chinese)
Yang, J.J., Zhang, M.-X., Strachan, J.P., et al.: High Switching Endurance in TaOx Memristive Devices. Appl. Phys. Lett. 3, 232102_1–232102_3 (2010)
Jo, S.H., Kim, K.-H., Lu, W.: High-density Crossbar Arrays Based on a Si Memristive System. Nano. Lett. 9, 870–874 (2009)
Xia, Q., Robinett, W., Cumbie, M.W., et al.: Memristor -CMOS Hybrid Integrated Circuits for Reconfigurable Logic. Nano. Lett. 9, 3640–3645 (2009)
Kim, H., Sah, M.P., Yang, C., Chua, L.O.: Memristor-based Multilevel Memory. In: 12th International Workshop on Cellular Nanoscale Neworks and their Applications, Berkeley, CA, USA, pp. 1–6 (2010)
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Hu, X., Duan, S., Wang, L. (2011). Memristive Multilevel Memory with Applications in Audio Signal Storage. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_29
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DOI: https://doi.org/10.1007/978-3-642-23881-9_29
Publisher Name: Springer, Berlin, Heidelberg
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