Arbitrarily Substantial Number Representation for Complex Number
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.
Cite
@article{arxiv.1802.08245,
title = {Arbitrarily Substantial Number Representation for Complex Number},
author = {Satrya Fajri Pratama and Azah Kamilah Muda and Yun-Huoy Choo},
journal= {arXiv preprint arXiv:1802.08245},
year = {2018}
}
Comments
This is a published version of an article published in Journal of Telecommunication, Electronic and Computer Engineering, available online at: http://journal.utem.edu.my/index.php/jtec/article/view/3590