how to generate samples uisng pseudo random generator

how to generate xor samples using pseudo random number generator

[dpb]

doc rand % and friends for the RNGs in Matlab

what, and how, xor comes into play is totally unclear from what little was provided.

[Thirunavukkarasu]

XOR input samples were generated by using a threshold function for 1000 values from a uniformly distributed pseudorandom number generator. The threshold function had a threshold level of 0.5. Sample = ( 1 ; value > 0:5 0 ; value >= 0:5

Answer 1

[Star Strider]

I am not certain that I understand what you want to do, but I will make an attempt at answering:

nrows = 5;
s = logical(randi(2, nrows, 2)-1);
out = xor(s(:,1),s(:,2));

[Thirunavukkarasu]

XOR input samples were generated by using a threshold function for 1000 values from a uniformly distributed pseudorandom number generator. The threshold function had a threshold level of 0.5. Sample = ( 1 ; value > 0:5 0 ; value >= 0:5

[Star Strider]

If you need a uniform continuous vector of 1000 samples:

rv = rand(1000,1);  % Column vector

This doesn’t make sense, though:

( 1 ; value > 0:5 0 ; value >= 0:5

You probably mean:

rn = [0*(rv <= 0.5) + 1*(rv > 0.5)];    % rv converted to (0,1)

[Thirunavukkarasu]

value is 1 when sample value greater than 0.5 and 0 when it is less than or equal to 0.5

[Star Strider]

That is exactly what ‘rn’ does. (The original continuous vector is ‘rv’.)

Answer 2

[Image Analyst]

inputSamples = rand(1,1000) > 0.5;