Floating Point Complex Multiplier Using Urdhva-Tiryakbhyam Sutra

Using the Vedic Urdhva - Tiryakbhyam Sutra(VUTS), Rao et al. proposed a model for a complex number multiplier. It is unable to employ floating-point numbers for complex arithmetic using this vedic method, because their model is only made for whole numbers. Floating point numbers are essential for scientific research calculations, especially for complex numbers. Our proposed model makes use of the standard IEEE 754 single precision format to represent floating point numbers accurately for scientific research applications. The proposed model has improved calculation speeds and accuracy compared to other algorithms in exchange for more energy usage. The model is flexible and can be modified to use the standard double precision format for increased precision.

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Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/iccsp64183.2025.11088793
Primary Topic
Low-power high-performance VLSI design
Type
article
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article

Floating Point Complex Multiplier Using Urdhva-Tiryakbhyam Sutra

V. Vaidehi, Hrishikesh Varahan R, S Shyamsundhar, V Dhuwarakesh
Low-power high-performance VLSI design
article

Floating Point Complex Multiplier Using Urdhva-Tiryakbhyam Sutra

V. Vaidehi, Hrishikesh Varahan R, S Shyamsundhar, V Dhuwarakesh
article en

Abstract

Using the Vedic Urdhva - Tiryakbhyam Sutra(VUTS), Rao et al. proposed a model for a complex number multiplier. It is unable to employ floating-point numbers for complex arithmetic using this vedic method, because their model is only made for whole numbers. Floating point numbers are essential for scientific research calculations, especially for complex numbers. Our proposed model makes use of the standard IEEE 754 single precision format to represent floating point numbers accurately for scientific research applications. The proposed model has improved calculation speeds and accuracy compared to other algorithms in exchange for more energy usage. The model is flexible and can be modified to use the standard double precision format for increased precision.

Vellore Institute of Technology University (IN)
Openalex Percentile: Top 82%
Low-power high-performance VLSI design
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