The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Superfícies rugosas gaussianas podem ser caracterizadas por dois parâmetros de rugosidade, a altura quadrática média e o comprimento de correlação. Para uma estimativa precisa desses parâmetros a partir do perfil de altura da superfície medido, são necessárias amostras de dados com comprimento de registro suficientemente longo. Nesta carta, uma expressão do comprimento da correlação em termos de uma função de inclinação da superfície é introduzida a fim de estimar o comprimento da correlação e a expressão analítica do comprimento do registro de dados necessário para uma estimativa precisa é derivada. O resultado mostra que o método que utiliza a função de inclinação pode reduzir o comprimento do registro de dados em aproximadamente 60% em comparação com o método comumente empregado que utiliza a função de correlação. Para verificar o resultado, também é realizada uma simulação de Monte Carlo e a validade do resultado é confirmada.
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Masahiko NISHIMOTO, Kohichi OGATA, "On the Estimation of Rough Surface Parameters from Surface Profile Data --- Correlation Length Estimate Using a Surface Slope Function ---" in IEICE TRANSACTIONS on Electronics,
vol. E93-C, no. 1, pp. 89-93, January 2010, doi: 10.1587/transele.E93.C.89.
Abstract: Gaussian rough surfaces can be characterized by two roughness parameters, the root-mean-square height and correlation length. For accurate estimation of these parameters from measured surface height-profile, data samples with sufficiently long record length are necessary. In this letter, an expression of correlation length in terms of a surface slope function is introduced in order to estimate correlation length and analytical expression of the data record length required for accurate estimation is derived. The result shows that the method using the slope function can reduce the data record length approximately 60% as compared to the commonly employed method using the correlation function. In order to check the result, a Monte Carlo simulation is also carried out and the validity of the result is confirmed.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E93.C.89/_p
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@ARTICLE{e93-c_1_89,
author={Masahiko NISHIMOTO, Kohichi OGATA, },
journal={IEICE TRANSACTIONS on Electronics},
title={On the Estimation of Rough Surface Parameters from Surface Profile Data --- Correlation Length Estimate Using a Surface Slope Function ---},
year={2010},
volume={E93-C},
number={1},
pages={89-93},
abstract={Gaussian rough surfaces can be characterized by two roughness parameters, the root-mean-square height and correlation length. For accurate estimation of these parameters from measured surface height-profile, data samples with sufficiently long record length are necessary. In this letter, an expression of correlation length in terms of a surface slope function is introduced in order to estimate correlation length and analytical expression of the data record length required for accurate estimation is derived. The result shows that the method using the slope function can reduce the data record length approximately 60% as compared to the commonly employed method using the correlation function. In order to check the result, a Monte Carlo simulation is also carried out and the validity of the result is confirmed.},
keywords={},
doi={10.1587/transele.E93.C.89},
ISSN={1745-1353},
month={January},}
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TY - JOUR
TI - On the Estimation of Rough Surface Parameters from Surface Profile Data --- Correlation Length Estimate Using a Surface Slope Function ---
T2 - IEICE TRANSACTIONS on Electronics
SP - 89
EP - 93
AU - Masahiko NISHIMOTO
AU - Kohichi OGATA
PY - 2010
DO - 10.1587/transele.E93.C.89
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E93-C
IS - 1
JA - IEICE TRANSACTIONS on Electronics
Y1 - January 2010
AB - Gaussian rough surfaces can be characterized by two roughness parameters, the root-mean-square height and correlation length. For accurate estimation of these parameters from measured surface height-profile, data samples with sufficiently long record length are necessary. In this letter, an expression of correlation length in terms of a surface slope function is introduced in order to estimate correlation length and analytical expression of the data record length required for accurate estimation is derived. The result shows that the method using the slope function can reduce the data record length approximately 60% as compared to the commonly employed method using the correlation function. In order to check the result, a Monte Carlo simulation is also carried out and the validity of the result is confirmed.
ER -