If you need to use interp2 for 2-D cases like your example, then it suffices to know that [X, Y]=ndgrid(x,y) is equivalent to [Y, X]=meshgrid(y,x). So for your example, you could do: [X, Y]=ndgrid(0:0.1:1,0:0.1:2); F=cos(X).*sin(Y); [X2, Y2]=ndgrid(0:0....
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Sign in to comment. Answers (2) Chad Greeneon 7 Oct 2019 2 Link Hey Behzad, This is pretty straightforward: Just use interp2. When reading the data from the NetCDF file you might need torotate and flip the gridto get the orientation right, but then let long...
I want to know how to use 'coeff' in cross-correlation of two matrix whose has different size of length.
Sign in to comment. Accepted Answer Stephen23on 2 Aug 2016 2 Link Open in MATLAB Online You could useinterp2orinterpn: >> x1 = 0:0.1:1; >> x2 = 25:2:35; >> y = 0.01:0.001:0.06; >> vm = zeros(numel(x1),numel(x2)); ...
댓글:wenchao zhang2024년 7월 6일 채택된 답변:wenchao zhang hello, i have x axle table and y axle table, when i set value within the range of x, how to get the output from y, may be some interpolation and curve smoothing should used. i hope it wo...
Can anybody help me to find out the function that give me the time temperature history matrix? 1 decade ago Thank you Ivar... I tried to use this function..Not get any luck ..can you please elaborate this little more?
MATLAB Online에서 열기 line.jpeg testGrayImage.m You can't just binarize the image and use [y, x] = find(mask); because your background is non-uniform. To handle the nonuniformity of the background I use a bottom hat filter. This fir...
ldatasets that use features of the enhanced model, such as user-defined nested data types, cannot be represented with the classic model; lEvolution will continue the commitment to keep theBackwards Compatibility; nBackwards means the “previous” and Forwards means the “future”; ...
As per my understanding, to visualize the temperature distribution in a section (slice) of an irregular 3D shape can be achieved using the "slice" function. This is useful for examining the internal temperature distribution at a particular plane within the domain.