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Approximate Multiplication and Division Calculation for DSP Applications

Received: 12 August 2024     Accepted: 2 September 2024     Published: 20 September 2024
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Abstract

Digital signal processing (DSP) is a promising alternative to accomplish a wide variety of signal processing operations. Multiplications and divisions have been urgently proposed to perform different DSP operations in real-time applications. However, the design and implementation of multiplication and division calculations have some limitations such as strict timing, bounded power consumption, and higher accuracy. The exact execution of these complex operations consumes great hardware resources and power consumption. Approximate computation for the main and complex arithmetic functions is a demand solution to decrease power, area, and delay. In this paper, low-power and high-accuracy approximate multiplication and division processes have been implemented using a 90 nm CMOS process, 1.0 V supply voltage standard cell library. The approximate multiplication and division algorithm depends on enhanced logarithmic converters. The logarithm-based arithmetic exhibits a good performance with decreasing the used hardware resources and runs at a higher speed. The proposed scheme achieves less hardware with minimal power consumption. The proposed approximate structure demonstrates up to a 62% saving in power with a rise in the accuracy level as compared with the prior approximate works. At the same time, the proposed multiplier and divider can carry out the multiplication and division processes in 1.8 ns, respectively.

Published in Applied and Computational Mathematics (Volume 13, Issue 5)
DOI 10.11648/j.acm.20241305.16
Page(s) 178-185
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Approximation Algorithm, ASIC, Division Process, Energy-Efficient Processing, Logarithm Arithmetic, Low Power

References
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Cite This Article
  • APA Style

    Ellaithy, D. M. (2024). Approximate Multiplication and Division Calculation for DSP Applications. Applied and Computational Mathematics, 13(5), 178-185. https://doi.org/10.11648/j.acm.20241305.16

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    ACS Style

    Ellaithy, D. M. Approximate Multiplication and Division Calculation for DSP Applications. Appl. Comput. Math. 2024, 13(5), 178-185. doi: 10.11648/j.acm.20241305.16

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    AMA Style

    Ellaithy DM. Approximate Multiplication and Division Calculation for DSP Applications. Appl Comput Math. 2024;13(5):178-185. doi: 10.11648/j.acm.20241305.16

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  • @article{10.11648/j.acm.20241305.16,
      author = {Dina Mohamed Ellaithy},
      title = {Approximate Multiplication and Division Calculation for DSP Applications
    },
      journal = {Applied and Computational Mathematics},
      volume = {13},
      number = {5},
      pages = {178-185},
      doi = {10.11648/j.acm.20241305.16},
      url = {https://doi.org/10.11648/j.acm.20241305.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20241305.16},
      abstract = {Digital signal processing (DSP) is a promising alternative to accomplish a wide variety of signal processing operations. Multiplications and divisions have been urgently proposed to perform different DSP operations in real-time applications. However, the design and implementation of multiplication and division calculations have some limitations such as strict timing, bounded power consumption, and higher accuracy. The exact execution of these complex operations consumes great hardware resources and power consumption. Approximate computation for the main and complex arithmetic functions is a demand solution to decrease power, area, and delay. In this paper, low-power and high-accuracy approximate multiplication and division processes have been implemented using a 90 nm CMOS process, 1.0 V supply voltage standard cell library. The approximate multiplication and division algorithm depends on enhanced logarithmic converters. The logarithm-based arithmetic exhibits a good performance with decreasing the used hardware resources and runs at a higher speed. The proposed scheme achieves less hardware with minimal power consumption. The proposed approximate structure demonstrates up to a 62% saving in power with a rise in the accuracy level as compared with the prior approximate works. At the same time, the proposed multiplier and divider can carry out the multiplication and division processes in 1.8 ns, respectively. 
    },
     year = {2024}
    }
    

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    Y1  - 2024/09/20
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    UR  - https://doi.org/10.11648/j.acm.20241305.16
    AB  - Digital signal processing (DSP) is a promising alternative to accomplish a wide variety of signal processing operations. Multiplications and divisions have been urgently proposed to perform different DSP operations in real-time applications. However, the design and implementation of multiplication and division calculations have some limitations such as strict timing, bounded power consumption, and higher accuracy. The exact execution of these complex operations consumes great hardware resources and power consumption. Approximate computation for the main and complex arithmetic functions is a demand solution to decrease power, area, and delay. In this paper, low-power and high-accuracy approximate multiplication and division processes have been implemented using a 90 nm CMOS process, 1.0 V supply voltage standard cell library. The approximate multiplication and division algorithm depends on enhanced logarithmic converters. The logarithm-based arithmetic exhibits a good performance with decreasing the used hardware resources and runs at a higher speed. The proposed scheme achieves less hardware with minimal power consumption. The proposed approximate structure demonstrates up to a 62% saving in power with a rise in the accuracy level as compared with the prior approximate works. At the same time, the proposed multiplier and divider can carry out the multiplication and division processes in 1.8 ns, respectively. 
    
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