<?xml version="1.0" encoding="UTF-8"?>
<article article-type="research-article" xml:lang="en" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-computer-science-and-technology-g-interdisciplinary</journal-id>
<journal-title-group>
<journal-title>Global Journal of Computer Science and Technology - G: Interdisciplinary</journal-title>
</journal-title-group>
<issn publication-format="print">0975-4350</issn>
<issn publication-format="electronic">0975-4172</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/54833.xml" />
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.34257/GJCSTGVOL20IS6PG19</article-id>
<article-id pub-id-type="publisher-id">54833</article-id>
<title-group>
<article-title>Multi-Dimensional Rajan Transform</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Thiagarajan</surname><given-names>K.</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Prateek</surname><given-names>Manish</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Govindarajan</surname><given-names>Ethirajan</given-names></name></contrib>
</contrib-group>
<aff id="aff1">INDIA</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2020-01-15">
<day>15</day>
<month>01</month>
<year>2020</year>
</pub-date>
<volume>20</volume>
<issue>G6</issue>
<fpage>19</fpage>
<lpage>27</lpage>
<abstract><p>In this paper, we describe the formulation of a novel transform called Multi-Dimensional Rajan Transform, which is an extension of Rajan Transform. Basically, Rajan Transform operates on a number sequence, whose length is a power of two. It transforms any sequence of arbitrary numbers into a sequence of interrelated numbers. As regards 2D Rajan Transform, there are two methods to implement it: (i) Row-Column method and (ii) Column-Row method. The 2D Rajan Transform obtained using the first method need not be the same as that obtained using second method. Similarly, one can implement 3-D Rajan Transform using the following approaches: (i) Row-Column-Depth approach, (ii) Row-Depth-Column approach, (iii) Column-Row-Depth approach, (iv) Column-Depth-Row approach, (v) Depth-Row-Column approach and (vi) Depth-Column-Row approach. This paper explains these approaches to implement two and three dimensional Rajan Transforms.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>discrete transforms</kwd>
<kwd>rajan transform</kwd>
<kwd>permutation invariant systems</kwd>
<kwd>homomorphic transforms.</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJCST_Volume20/2-Multi-Dimensional-Rajan-Transform.pdf" />
<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/multi-dimensional-rajan-transform/" />
</article-meta>
</front>
<body>
<sec>
<title>Full Text</title>
<p>In this paper, we describe the formulation of a novel transform called Multi-Dimensional Rajan Transform, which is an extension of Rajan Transform. Basically, Rajan Transform operates on a number sequence, whose length is a power of two. It transforms any sequence of arbitrary numbers into a sequence of interrelated numbers. As regards 2D Rajan Transform, there are two methods to implement it: (i) Row- Column method and (ii) Column-Row method. The 2D Rajan Transform obtained using the first method need not be the same as that obtained using second method. Similarly, one can implement 3-D Rajan Transform using the following approaches: (i) Row-Column-Depth approach, (ii) Row-Depth- Column approach, (iii) Column-Row-Depth approach, (iv) Column-Depth-Row approach, (v) Depth-Row-Column approach and (vi) Depth- Column-Row approach. This paper explains these approaches to implement two and three dimensional Rajan Transforms.</p>
</sec>
</body>
</article>