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Emerging Technologies in Data Mining and Information Security pp 67–77Cite as

Higher Order Low-Pass Filter Using Single Current Differencing Buffered Amplifier

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 814))

Abstract

This paper proposes a higher order low-pass filter using only one current differencing buffered amplifier (CDBA) as an active element. The proposed circuits realize third-order, fourth-order, and fifth-order low-pass filter responses. The PSpice simulation results using 0.5 µm CMOS technology agree well with the theoretical proposition. Power consumption and percentage of total harmonic distortion are very low for the proposed circuits which is useful for low-power VLSI design.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Guwahati, 781001, India

    Mourina Ghosh & Vishal Tiwari

  2. Department of Electronics and Communication Engineering, National Institute of Technology, Patna, 800005, India

    Bal Chand Nagar

Authors
  1. Mourina Ghosh
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  2. Bal Chand Nagar
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  3. Vishal Tiwari
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Corresponding authors

Correspondence to Mourina Ghosh or Vishal Tiwari .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. Department of Computer and Systems Sciences, Visva-Bharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Computer Science and Engineering, University of Kalyani, Kalyani, India

    Jyotsna Kumar Mandal

  4. Institute of Engineering and Management, Kolkata, West Bengal, India

    Abhishek Bhattacharya

  5. Institute of Engineering and Management, Kolkata, West Bengal, India

    Soumi Dutta

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Cite this paper

Ghosh, M., Nagar, B.C., Tiwari, V. (2019). Higher Order Low-Pass Filter Using Single Current Differencing Buffered Amplifier. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 814. Springer, Singapore. https://doi.org/10.1007/978-981-13-1501-5_6

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