interp1.m matlab function Search Results


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MathWorks Inc interp1.m function
Interp1.M Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc interp1 function
Interp1 Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Matlab Function Linspace.M, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc interp1
The average weekly values of meteorological parameters for 2015–2019 and ( 2 ) 2020: (a, b) average wind speed in the layer of 100–500 m above the ground according to radiosonde data from Dolgoprudny station (a) in the daytime (15:00 MSK) and (b) nighttime (03:00 MSK); (c, d) surface temperature and average daily precipitation, respectively, at VDNKh station. Here and in Fig. , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} <t>\setlength{\oddsidemargin}{-69pt}</t> \begin{document}$$N$$\end{document} N is the number of a day starting from January 1; the vertical lines correspond to the boundaries of the selected time periods I–IV (Table )
Interp1, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


The average weekly values of meteorological parameters for 2015–2019 and ( 2 ) 2020: (a, b) average wind speed in the layer of 100–500 m above the ground according to radiosonde data from Dolgoprudny station (a) in the daytime (15:00 MSK) and (b) nighttime (03:00 MSK); (c, d) surface temperature and average daily precipitation, respectively, at VDNKh station. Here and in Fig. , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N$$\end{document} N is the number of a day starting from January 1; the vertical lines correspond to the boundaries of the selected time periods I–IV (Table )

Journal: Russian Meteorology and Hydrology

Article Title: Impact of COVID-19 Pandemic Preventing Measures and Meteorological Conditions on the Atmospheric Air Composition in Moscow in 2020

doi: 10.3103/S1068373922030037

Figure Lengend Snippet: The average weekly values of meteorological parameters for 2015–2019 and ( 2 ) 2020: (a, b) average wind speed in the layer of 100–500 m above the ground according to radiosonde data from Dolgoprudny station (a) in the daytime (15:00 MSK) and (b) nighttime (03:00 MSK); (c, d) surface temperature and average daily precipitation, respectively, at VDNKh station. Here and in Fig. , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N$$\end{document} N is the number of a day starting from January 1; the vertical lines correspond to the boundaries of the selected time periods I–IV (Table )

Article Snippet: The one-dimensional function interp1 incorporated to the MATLAB R2016b was used to interpolate the data: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathrm{A2}(xx) = \mathrm{interp1}\,(x, \mathrm{A1}(x),xx, \textrm{``cubic''})$$\end{document} where \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathrm{A1}$$\end{document} is initial measurement data; \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathrm{A2}$$\end{document} is interpolated data; \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$x$$\end{document} x is the altitudes of initial measurements; \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$xx$$\end{document} x x is specified interpolation altitudes with a step of 1 m from the surface to 10 km.

Techniques:

The averaged concentration of pollutants ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek}  \setlength{\oddsidemargin}{-69pt}  \begin{document}$$\mu$$\end{document} μ g/m 3 ) at Mosekomonitoring stations corresponding to the middle of the periods I–IV in (1) 2015–2019 and (2) 2020 in accordance with Table <xref ref-type= 1 for CO, NO 2 , O 3 , and PM 10" width="100%" height="100%">

Journal: Russian Meteorology and Hydrology

Article Title: Impact of COVID-19 Pandemic Preventing Measures and Meteorological Conditions on the Atmospheric Air Composition in Moscow in 2020

doi: 10.3103/S1068373922030037

Figure Lengend Snippet: The averaged concentration of pollutants ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu$$\end{document} μ g/m 3 ) at Mosekomonitoring stations corresponding to the middle of the periods I–IV in (1) 2015–2019 and (2) 2020 in accordance with Table 1 for CO, NO 2 , O 3 , and PM 10

Article Snippet: The one-dimensional function interp1 incorporated to the MATLAB R2016b was used to interpolate the data: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathrm{A2}(xx) = \mathrm{interp1}\,(x, \mathrm{A1}(x),xx, \textrm{``cubic''})$$\end{document} where \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathrm{A1}$$\end{document} is initial measurement data; \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathrm{A2}$$\end{document} is interpolated data; \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$x$$\end{document} x is the altitudes of initial measurements; \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$xx$$\end{document} x x is specified interpolation altitudes with a step of 1 m from the surface to 10 km.

Techniques: Concentration Assay