Create matrix with random binary element in matlab

Question

I want to create a matrix in matlab with 500 cell (50 row,10 column ), How I can create and initialize it by random binary digits? I want some thing like this in 50*10 scal

Answer 1

Or you could try it like this:

A = binornd(ones(50,10),p);

This way you also have the option to control the probability of occurrence of ones.

Answer 2

Another option:

 A=round(rand(50,10));

The decimal eq of the n-th row is given by:

 bin2dec(num2str(A(n,:)))

Answer 3

Why not use randi to generate random integers?

A = randi([0 1], 50, 10);

and to convert a binary row to a number - as in the previous answers:

bin2dec(num2str(A(n,:)))

Answer 4

Try this:

A = rand(50, 10) > 0.5;

The decimal equivalent of the nth row is given by:

 bin2dec(num2str(A(n,:)))

or, if you prefer,

sum( A(n,:) .* 2.^(size(A,2)-1:-1:0) )   % for big endian
sum( A(n,:) .* 2.^(0:size(A,2)-1) )      % for little endian

which is several times faster than bin2dec.

Answer 5

Through the other answares are shorter I find it rather unappealing generating random numbers with 32 or 64 bit numbers and then throwing away 31 or 63 of them... and rather go with something like:

A_dec=randi([0,2^10-1],50,1,'uint16');

And to get the bits:

A_bin=bsxfun(@(a,i)logical(bitget(a,i)),A_dec,10:-1:1);

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This is also several times faster for larger arrays (R2014a, i7 930)[but that doesn't seem to be of importance for the OP]:

tic; for i=1:1000;n = randi([0,2^10-1],50000,1,'uint16'); end;toc

Elapsed time is 1.341566 seconds.

tic; for i=1:1000;n =bsxfun(@(n,i)logical(bitget(n,i)),randi([0,2^10-1],50000,1,'uint16'),10:-1:1); end;toc

Elapsed time is 2.547187 seconds. 

tic; for i=1:1000;n = rand(50000,10)>0.5; end;toc

Elapsed time is 8.030767 seconds.

tic; for i=1:1000;n = sum(bsxfun(@times,rand(50000,10)>0.5,2.^(0:9)),2); end;toc

Elapsed time is 13.062462 seconds.

binornd is even slower:

tic; for i=1:1000;n = logical(binornd(ones(50000,10),0.5)); end;toc

Elapsed time is 47.657960 seconds.

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Note that this is still not optimal due to the way MATLAB saves logicals. (bits saved as bytes...)