| Communications Blockset™ | |
Generate prime numbers for use as random number seeds
out = randseed
out = randseed(state)
out = randseed(state,m)
out = randseed(state,m,n)
out = randseed(state,m,n,rmin)
out = randseed(state,m,n,rmin,rmax)
The randseed function is designed for producing random prime numbers that work well as seeds for random source blocks or noisy channel blocks in Communications Blockset™ software.
out = randseed generates a random prime number between 31 and 217-1, using the MATLAB® function rand.
out = randseed(state) generates a random prime number after setting the state of rand to the positive integer state. This syntax produces the same output for a particular value of state.
out = randseed(state,m) generates a column vector of m random primes.
out = randseed(state,m,n) generates an m-by-n matrix of random primes.
out = randseed(state,m,n,rmin) generates an m-by-n matrix of random primes between rmin and 217-1.
out = randseed(state,m,n,rmin,rmax) generates an m-by-n matrix of random primes between rmin and rmax.
To generate a two-element sample-based row vector of random bits using the Bernoulli Random Binary Generator block, you can set Probability of a zero to [0.1 0.5] and set Initial seed to randseed(391,1,2).
To generate three streams of random data from three different blocks in a single model, you can define out = randseed(93,3) in the MATLAB workspace and then set the three blocks' Initial seed parameters to out(1), out(2), and out(3), respectively.
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