Correlation of rows of matrix B with rows of reference matrix A

I have a reference matrix A (10000 x 400) and a matrix B (10000 x 400).

I need to compare the first row of B to all the rows of A. I know the rest of the rows of B are going to be nearby (+/- 10) to what it found the strongest correlation for the first row. To make it more challenging, the row of B could shift in columns to get a higher correlation.

I started the following but i'm not sure if I'm in the right path as far as functions nor my results!

I need to get B to match A row by row and for it to be able to shift in columns if needed to achieve the highest correlation. And just getting the yshift and xshift of each row of B.

[r,c]=size(matA);
for i=1:r
  x=crosscorr(matA(i,:),matB(i,:))
end

Answer 1

[KSSV]

[r,c]=size(matA);
x = zeros(length(r),1) ; 
for i=1:r
  x(i) = corr(matA(i,:)',matB(i,:)') ;
end
[val,idx] = max(x)

[Wookie]

Thank you for the reply and for changing it to corr function but this only outputs a single x for each "row". I would need to get information from what each row of B is correlated with what row of A in both x and y.

Answer 2

[Image Analyst]

See my normalized cross corrrelation demo, attached.