1. x = x(end:-1:1); %reverse a vector
2. x( 3:5 ) = []; % remove part of the vector
3. fprintf('Some Text'); %Output a string without carriage return: some text>>
4. m = min(x(:)); M = max(x(:));
x = (b-a) * (x-m)/(M-m) + a; %Rescale the entries of a vector x so that it spans [a,b]
5. [,I] = sort(abs(x(:)));
x( I(1:end-n) ) = 0; %Keep only the n biggest coefficients of a signal x (set the others to 0).
6. Resize an image M (new size is (p1,q1)).
[p,q] = size(M); % the original image
[X,Y] = meshgrid( (0:p-1)/(p-1), (0:q-1)/(q-1) ); % new sampling location
[XI,YI] = meshgrid( (0:p1-1)/(p1-1) , (0:q1-1)/(q1-1) );
M1 = interp2( X,Y, M, XI,YI ,'cubic'); % the new image
7. Compute the PSNR between to signals
d = mean( mean( (x-y).^2));
m = max( max(x(:)),max(y(:))
PSNR = 10*log10( m/d );
Saturday, August 20, 2005
tips of matlab from former post
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