Skip to main content
SpringerLink
Log in

Mixed analog-digital crossbar-based hardware implementation of sign–sign LMS adaptive filter

  • Published:
Analog Integrated Circuits and Signal Processing Aims and scope Submit manuscript

Abstract

Recently announcement of a physical realization of a fundamental circuit element called memristor by researchers at Hewlett Packard (HP) has attracted so much interest worldwide. Combination of this newly found element with crossbar interconnect technology, opened a new field in designing configurable or programmable electronic systems which can have applications in signal processing and artificial intelligence. In this paper, based on the simple memristor crossbar structure, we will propose a new mixed analog-digital circuit as a hardware implementation of the sign–sign least mean square (LMS) adaptive filter algorithm. In this proposed hardware, any multiplication and addition is performed with infinite precision and there is no necessity for the quantization of the input signal. Since the coefficients of the filter are stored in the switches of the crossbar, they can remain unchanged theoretically for an infinite period of time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Strukov, D. B., Snider, G. S., Stewart, D. R., & Williams, R. S. (2008). The missing memristor found. Nature, 453, 80–83.

    Article  Google Scholar 

  2. Yang, J. J., Pickett, M. D., Li, X., Ohlberg, D. A., Steward, D. R., & Williams, R. S. (2008). Memristive switching mechanism for metal/oxide/metal nanodevices. Nature Nanotechnology, 3, 429–433.

    Article  Google Scholar 

  3. Chua, L. O. (1971). Memristor—the missing circuit element. IEEE Transactions on Circuit Theory, CT-18(5), 507–519.

    Article  Google Scholar 

  4. Waser, R., & Aono, M. (2007). Nanoionics-based resitive switching memories. Nature Materials, 6, 833–840.

    Article  Google Scholar 

  5. Kuekes, P. (2008). Material implication: Digital logic with memristors. In Memristor and memristive systems syymposium, 21 Nov 2008.

  6. Pershin, Y. V., Fontaine, S. L., & Ventra, M. D. (24 Oct 2008). Memristive model of amoeba’s learning. arXive: 0810.4179v2.

  7. Shin, S., Kim, K., & Kang, S. M. (2009). Memristor-based fine resolution resistance and its applications. In ICCCAS, July 2009.

  8. Mouttet, B. L. (2009). Proposal for memristors in signal processing. In Nano-net 2008, pp. 11–13.

  9. Mouttet, B. L. (2009). Crossbar comparator. US Patent 7,564,262.

  10. Mouttet, B. L. (2009). Crossbar waveform driver circuit. US Patent 7,576,565.

  11. Cioffi, J. M. (1987). Limited-precision effects in adaptive filtering. IEEE Transactions on circuits and systems, CAS-34(7), 821–833.

    Article  Google Scholar 

  12. Haykin, S. (1991). Adaptive filter theory, 2nd edn. NJ: Prentice-Hall.

  13. Treichler, J. R., Johnson, C. R., & Larimore, M. G. (1987). Theory and design of adaptive filters. New York: Wiley Interscience.

    MATH  Google Scholar 

  14. Gitlin, Jr, R. D., Meadors, H. C., & Weinstein, S. B. (1982). The tap-leakage algorithm: An algorithm for the stable operation of a digitally implemented, fractionally spaced adaptive equalizer. The Bell System Technical Journal, 61(8), 1817–1839.

    Google Scholar 

  15. Widrow, B. (October, 1960). An adaptive adaline neuron using chemical memristors. Stanford Electronics Laboratories Technical Report 1553-2.

Download references

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Sharif University of Technology, Azadi Avenue, Tehran, Iran

    Farnood Merrikh-Bayat & Saeed Bagheri-Shouraki

Authors
  1. Farnood Merrikh-Bayat
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Saeed Bagheri-Shouraki
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Farnood Merrikh-Bayat.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Merrikh-Bayat, F., Bagheri-Shouraki, S. Mixed analog-digital crossbar-based hardware implementation of sign–sign LMS adaptive filter. Analog Integr Circ Sig Process 66, 41–48 (2011). https://doi.org/10.1007/s10470-010-9523-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10470-010-9523-3

Keywords

Search

Navigation