Reduce Matrix size with interpolated data arrays
10 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Benyamin Nemati
am 10 Mär. 2021
Beantwortet: Jan
am 11 Mär. 2021
Hi,
I have a 360*720 precipitation matrix with values in milimeter, and i desire a 180*360 matrix with interpolated data to compare my precipitation with other 180*360 data.
here you can see the original 360*720 plot of my data. please help me on this.
Thank you.![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/545037/image.jpeg)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/545037/image.jpeg)
0 Kommentare
Akzeptierte Antwort
Mathieu NOE
am 10 Mär. 2021
hello
simply use a 2D interpolation with the appropriate new Xq and Yq vectors
interp2 2-D interpolation (table lookup).
Vq = interp2(X,Y,V,Xq,Yq) interpolates to find Vq, the values of the
underlying 2-D function V at the query points in matrices Xq and Yq.
Matrices X and Y specify the points at which the data V is given.
2 Kommentare
Weitere Antworten (1)
Jan
am 11 Mär. 2021
The mean over neighboring rows and columns is smarter than a linear interpolation, which just omits the intermediate rows and columns:
x = rand(360, 720);
y = x(1:2:end, :) + x(2:2:end, :);
z = (y(:, 1:2:end) + y(:, 2:2:end)) / 4;
0 Kommentare
Siehe auch
Kategorien
Mehr zu Interpolation finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!