Optimizing Digital Circuits for Low Power Using MATLAB Algorithms

Xuefan Lyu

doi:10.54254/2755-2721/2025.GL28747

Applied and Computational EngineeringOpen access

Optimizing Digital Circuits for Low Power Using MATLAB Algorithms

Research Article

Open Access

Optimizing Digital Circuits for Low Power Using MATLAB Algorithms

Xuefan Lyu ^1*

¹ University of Liverpool

^*Corresponding author: sgxlyu8@liverpool.ac.uk

Published on 28 October 2025

ACE Vol.201

ISSN (Print): 2755-273X

ISSN (Online): 2755-2721

ISBN (Print): 978-1-80590-493-9

ISBN (Online): 978-1-80590-494-6

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Abstract

Power consumption has emerged as a primary design metric in nanometer-scale digital circuits. Although FIR filters are prevalent in digital signal processing for their guaranteed stability and linear phase response, their power dissipation scales quadratically with both filter order and coefficient bit-width. Aiming at the problem of high power consumption of FIR filters in digital signal processing systems, this paper proposes a low power optimization method based on the MATLAB algorithms. The proposed method integrates three optimization strategies: Reducing the number of filter taps, using shorter coefficient bit widths and applying coefficient optimization. Benchmarking against conventional Parks-McClellan designs, both baseline and optimized filters were synthesized using MATLAB’s FDATool with identical passband/stopband specifications. Performance is assessed in terms of magnitude response, time domain signal quality and estimated dynamic power. The results show that, when all other conditions remain unchanged, the proposed method reduces power consumption. This verifies the effectiveness of this method in low power digital signal processing applications, especially in resource constrained embedded systems.

Keywords:

Finite Impulse Response (FIR) Filter, Low-Power Design, Bit-Width Reduction, MATLAB Implementation

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References

[1]. Dietrich S. (2011) Digital Filters Basics and Design. Springer Science & Business Media.

[2]. Hossain, K., Ahmed, R., Haque, M. A., & Rahman, M. T. (2021). A review of digital FIR filter design in communication systems. International Journal of Science and Research.

[3]. Thingujam, C. S., & Kumar, M. (2021). Digital FIR filter designs. In 2021 Asian Conference on Innovation in Technology(ASIANCON). https: //doi.org/10.1109/ASIANCON51346.2021.9544766

[4]. Durgagopal, R., & Rao, D. N. (2022). Power optimized low pass digital FIR filter using five modular redundancy and parallel adding methods. In 2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP). https: //doi.org/10.1109/ICICCSP53532.2022.9862465

[5]. China Venkateshwarlu, S., Khadir, M., Vijay, V., Pittala, C. S., & Vallabhuni, R. R. (2022). Optimized design of power efficient FIR filter using modified Booth multiplier. In 2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST). https: //doi.org/10.1109/ICRTCST54752.2022.9781933

[6]. Islam, M. S., Islam, M. S., Rahman, S. K., Ferdous, N. S., & Jyoti, J. S. (2014). Design of FIR filter using Hamming window. International Journal of Emerging Research in Management & Technology.

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References

[1]. Dietrich S. (2011) Digital Filters Basics and Design. Springer Science & Business Media.

[2]. Hossain, K., Ahmed, R., Haque, M. A., & Rahman, M. T. (2021). A review of digital FIR filter design in communication systems. International Journal of Science and Research.

[3]. Thingujam, C. S., & Kumar, M. (2021). Digital FIR filter designs. In 2021 Asian Conference on Innovation in Technology(ASIANCON). https: //doi.org/10.1109/ASIANCON51346.2021.9544766

[7]. Oppenheim, A. V., Schafer, R. W., & Buck, J. R. (1999). Discrete-time signal processing. Prentice Hall.

Cite this article

Lyu,X. (2025). Optimizing Digital Circuits for Low Power Using MATLAB Algorithms. Applied and Computational Engineering,201,45-53.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of CONF-FMCE 2025 Symposium: Semantic Communication for Media Compression and Transmission

ISBN: 978-1-80590-493-9(Print) / 978-1-80590-494-6(Online)

Editor: Anil Fernando

Conference website: https://2025.conffmce.org/glasgow.html

Conference date: 24 October 2025

Series: Applied and Computational Engineering

Volume number: Vol.201

ISSN: 2755-2721(Print) / 2755-273X(Online)

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