Arbitrarily Substantial Number Representation for Complex Number

Authors

  • Satrya Fajri Pratama Computational Intelligence and Technologies (CIT) Research Group, Center of Advanced Computing and Technologies, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Azah Kamilah Muda Computational Intelligence and Technologies (CIT) Research Group, Center of Advanced Computing and Technologies, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Yun-Huoy Choo Computational Intelligence and Technologies (CIT) Research Group, Center of Advanced Computing and Technologies, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

Keywords:

Complex Number, Dimensionality Reduction, Feature Projection, Pairing Function,

Abstract

Researchers are often perplexed when their machine learning algorithms are required to deal with complex number. Various strategies are commonly employed to project complex number into real number, although it is frequently sacrificing the information contained in the complex number. This paper proposes a new method and four techniques to represent complex number as real number, without having to sacrifice the information contained. The proposed techniques are also capable of retrieving the original complex number from the representing real number, with little to none of information loss. The promising applicability of the proposed techniques has been demonstrated and worth to receive further exploration in representing the complex number.

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Published

2018-02-12

How to Cite

Pratama, S. F., Muda, A. K., & Choo, Y.-H. (2018). Arbitrarily Substantial Number Representation for Complex Number. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-7), 23–26. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3590

Issue

Vol. 10 No. 1-7: Innovative and Sustainable Technologies for Societal Wellbeing

Section

Articles

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