An Algorithm for Rough Surface Generation with Inhomogeneous Parameters

An Algorithm for Rough Surface Generation with Inhomogeneous Parameters

This paper is concerned with an algorithm for generating the inhomogeneous random rough surface (RRS) that can simulate the physical environments such as desert, vegetable field, sea surface and others, better than the homogeneous RRS. First, we discuss the statistics for two-dimensional (2D) RRSs w...

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Main Authors: Kazunori Uchida, Junichi Honda, Kwang-Yeol Yoon
Format: Article
Language:English
Published: SAGE Publishing 2011-06-01
Series:Journal of Algorithms & Computational Technology
Online Access:https://doi.org/10.1260/1748-3018.5.2.259
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spelling doaj-452844281dfd455480bd497f22ed71582020-11-25T03:43:39ZengSAGE PublishingJournal of Algorithms & Computational Technology1748-30181748-30262011-06-01510.1260/1748-3018.5.2.259An Algorithm for Rough Surface Generation with Inhomogeneous ParametersKazunori Uchida0Junichi Honda1Kwang-Yeol Yoon2 Fukuoka Institute of Technology, Information and Communication Engineering Fukuoka, 811-0295 Japan Fukuoka Institute of Technology Intelligent Information System Engineering Fukuoka, 811-0295 Japan Keimyung University, Department of Electronic Engineering Daegu, 704-701, KoreaThis paper is concerned with an algorithm for generating the inhomogeneous random rough surface (RRS) that can simulate the physical environments such as desert, vegetable field, sea surface and others, better than the homogeneous RRS. First, we discuss the statistics for two-dimensional (2D) RRSs with arbitrary types of spectra. Second, we review the essence of the convolution method which is flexible and effective for generation of various kinds of RRSs. Finally, we propose an algorithm for inhomogeneous RRS generation by modifying the convolution method. Numerical examples are also given for some inhomogeneous RRSs.https://doi.org/10.1260/1748-3018.5.2.259
collection DOAJ
language English
format Article
sources DOAJ
author Kazunori Uchida
Junichi Honda
Kwang-Yeol Yoon
spellingShingle Kazunori Uchida
Junichi Honda
Kwang-Yeol Yoon
An Algorithm for Rough Surface Generation with Inhomogeneous Parameters
Journal of Algorithms & Computational Technology
author_facet Kazunori Uchida
Junichi Honda
Kwang-Yeol Yoon
author_sort Kazunori Uchida
title An Algorithm for Rough Surface Generation with Inhomogeneous Parameters
title_short An Algorithm for Rough Surface Generation with Inhomogeneous Parameters
title_full An Algorithm for Rough Surface Generation with Inhomogeneous Parameters
title_fullStr An Algorithm for Rough Surface Generation with Inhomogeneous Parameters
title_full_unstemmed An Algorithm for Rough Surface Generation with Inhomogeneous Parameters
title_sort algorithm for rough surface generation with inhomogeneous parameters
publisher SAGE Publishing
series Journal of Algorithms & Computational Technology
issn 1748-3018
1748-3026
publishDate 2011-06-01
description This paper is concerned with an algorithm for generating the inhomogeneous random rough surface (RRS) that can simulate the physical environments such as desert, vegetable field, sea surface and others, better than the homogeneous RRS. First, we discuss the statistics for two-dimensional (2D) RRSs with arbitrary types of spectra. Second, we review the essence of the convolution method which is flexible and effective for generation of various kinds of RRSs. Finally, we propose an algorithm for inhomogeneous RRS generation by modifying the convolution method. Numerical examples are also given for some inhomogeneous RRSs.
url https://doi.org/10.1260/1748-3018.5.2.259
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AT junichihonda analgorithmforroughsurfacegenerationwithinhomogeneousparameters
AT kwangyeolyoon analgorithmforroughsurfacegenerationwithinhomogeneousparameters
AT kazunoriuchida algorithmforroughsurfacegenerationwithinhomogeneousparameters
AT junichihonda algorithmforroughsurfacegenerationwithinhomogeneousparameters
AT kwangyeolyoon algorithmforroughsurfacegenerationwithinhomogeneousparameters
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