Arbitrarily substantial number representation for complex number

Satrya Fajri Pratama, Azah Kamilah Muda, Yun Huoy Choo

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)23-26
Number of pages4
JournalJournal of Telecommunication, Electronic and Computer Engineering (JTEC)
Issue number1-7
Publication statusPublished - 2018


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


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