To add noise to a binary vector in matlab, you can use the rand
function to generate a vector of random numbers between 0 and 1, and then use logical indexing to convert the values greater than a given threshold to 1s or 0s.
Here's an example code snippet that adds noise to a binary vector with a threshold of 0.5:
main.m447 chars7 lines
In this example, the resulting noisy_vector
may differ from the original binary_vector
due to the added noise.
gistlibby LogSnag