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Top 12 Matlab projects from matlabsolutions.com

Looking for inspiring MATLAB projects to sharpen your skills or impress in your next assignment? At MATLABSolutions.com , we’ve curated the top 12 MATLAB projects that showcase the power of MATLAB in signal processing, image analysis, machine learning, and more. These hands-on examples, complete with code and explanations, are perfect for beginners and advanced users alike. Dive in and explore the best MATLAB projects to elevate your expertise! Signal Smoothing with Moving Average Filter Master signal processing by smoothing noisy data using MATLAB’s movmean function. This project cleans a synthetic sine wave, teaching you noise reduction basics. Ideal for audio or sensor data analysis. Get the code at MATLABSolutions Projects Image Edge Detection Using Canny Filter Explore image processing with MATLAB’s Canny edge detection algorithm. This project highlights edges in any photo, perfect for computer vision applications. Download the script and try it on your own images! Bitcoin Price ...

How can I make the mean of 3d matrices in a cell in Matlab?

 I have a 1x12 cell in Matlab and each element of this cell has a 3d matrix. I want to make the mean of these 3d matrices, so that I obtain a 3d matrix that has the same dimensions of each one of the 3d matrices of the cell and that is the mean of the 12 3d matrices. How can I do this operation ?

I tried to extract each cell and create a 4d matrix so that I could do mean(fourdmatrix,4) . However, it seems not possible to create a 4d matrix.

Ideed, a code like this:

 

cell={threedmatrixA, threedmatrixB, ...}
fourdmatrix=[];

for i=1:12
 fourdmatrix(i)=cell{i};
end

does not work. How can I do it ?


  NOTE:-


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One you have the data in a 4d array it's simple enough, just use mean and supply the dimension to work over as you suggest. As @Cris notes you might run out of memory forming the 4d array (since it will copy all the data) in which case you'll want to loop over the existing arrays. But if you have enough memory this should work:

 

% make 12 random 3d arrays in cell array `c`
for i=1:12
    c{i} = rand(10, 10, 10); 
end

% Make a 4d array:
array4d = cat(4, c{:}); % Same as writing cat(4, c{1}, c{2}, c{3}, etc)

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Top 12 Matlab projects from matlabsolutions.com

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