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B = repmat(A,m,n)
B = repmat(A,[m n])
B = repmat(A,[m n p...])
B = repmat(A,m,n) creates a large matrix B consisting of an m-by-n tiling of copies of A. The size of B is [size(A,1)*m, (size(A,2)*n]. The statement repmat(A,n) creates an n-by-n tiling.
B = repmat(A,[m n]) accomplishes the same result as repmat(A,m,n).
B = repmat(A,[m n p...]) produces a multidimensional array B composed of copies of A. The size of B is [size(A,1)*m, size(A,2)*n, size(A,3)*p, ...].
repmat(A,m,n), when A is a scalar, produces an m-by-n matrix filled with A's value and having A's class. For certain values, you can achieve the same results using other functions, as shown by the following examples:
repmat(NaN,m,n) returns the same result as NaN(m,n).
repmat(single(inf),m,n) is the same as inf(m,n,'single').
repmat(int8(0),m,n) is the same as zeros(m,n,'int8').
repmat(uint32(1),m,n) is the same as ones(m,n,'uint32').
repmat(eps,m,n) is the same as eps(ones(m,n)).
In this example, repmat replicates 12 copies of the second-order identity matrix, resulting in a "checkerboard" pattern.
B = repmat(eye(2),3,4)
B =
1 0 1 0 1 0 1 0
0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0
0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0
0 1 0 1 0 1 0 1 The statement N = repmat(NaN,[2 3]) creates a 2-by-3 matrix of NaNs.
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