2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE) 2020
DOI: 10.1109/reepe49198.2020.9059207
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A New Discrete Model of the Forest Environment for Predicting the Radio-wave Propagation and its Statistical Characteristics

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Cited by 2 publications
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“…This way, by employing wavelet transforms, this method can efficiently decompose the radiowave interactions into different scales and frequencies, allowing for a more precise and detailed analysis of wave propagation and multi-path effects [14][15][16][17][18][19]. Moreover, numerous studies [20][21][22][23][24] have examined in detail how radiowave diffraction is specifically affected by trees, which create natural obstacles. Crucially, the study of radiowave diffraction in residential areas that comprise both vegetation and buildings must consider the attenuation effects due to trees, especially their canopies.…”
Section: Introductionmentioning
confidence: 99%
“…This way, by employing wavelet transforms, this method can efficiently decompose the radiowave interactions into different scales and frequencies, allowing for a more precise and detailed analysis of wave propagation and multi-path effects [14][15][16][17][18][19]. Moreover, numerous studies [20][21][22][23][24] have examined in detail how radiowave diffraction is specifically affected by trees, which create natural obstacles. Crucially, the study of radiowave diffraction in residential areas that comprise both vegetation and buildings must consider the attenuation effects due to trees, especially their canopies.…”
Section: Introductionmentioning
confidence: 99%