add noise to a binary vector in matlab

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.m
binary_vector = [0 1 1 0 1];  % example binary vector
noise = rand(size(binary_vector));  % generate random noise vector
threshold = 0.5;  % set threshold for converting to 1s and 0s
noisy_vector = binary_vector;  % initialize noisy vector with original vector
noisy_vector(noise > threshold) = 1;  % assign 1s where noise is greater than threshold
noisy_vector(noise <= threshold) = 0;  % assign 0s where noise is less than or equal to threshold
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In this example, the resulting noisy_vector may differ from the original binary_vector due to the added noise.

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