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| R2012a Documentation → Communications System Toolbox | |
Learn more about Communications System Toolbox |
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Note MathWorks will remove the randint function from a future version of the Communications System Toolbox software. We strongly recommend that you use randi instead. |
out = randint
out = randint(m)
out = randint(m,n)
out = randint(m,n,rg)
out = randint(m,n,rg,state)
out = randint generates a random scalar that is either 0 or 1, with equal probability.
out = randint(m) generates an m-by-m binary matrix, each of whose entries independently takes the value 0 with probability 1/2.
out = randint(m,n) generates an m-by-n binary matrix, each of whose entries independently takes the value 0 with probability 1/2.
out = randint(m,n,rg) generates an m-by-n integer matrix. If rg is zero, out is a zero matrix. Otherwise, the entries are uniformly distributed and independently chosen from the range
[0, rg-1] if rg is a positive integer
[rg+1, 0] if rg is a negative integer
Between min and max, inclusive, if rg = [min,max] or [max,min]
out = randint(m,n,rg,state) is the same as the syntax above, except that it first resets the state of the uniform random number generator rand to the integer state.
This function uses, by default, the Mersenne Twister algorithm by Nishimura and Matsumoto.
Note Using the state parameter causes this function to switch random generators to use the 'state' algorithm of the rand function. See rand for details on the generator algorithm. |
To generate a 10-by-10 matrix whose elements are uniformly distributed in the range from 0 to 7, use either of the following commands.
out = randint(10,10,[0,7]);
out = randint(10,10,8);
Learn how to apply early verification to your development process through these technical resources.
How much time do you spend on testing to ensure implementation meets system-level requirements?
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