Adding noise to my data set

Good afternoon,

I am trying to turn a 1 hour consumption signal into a 10 min consumption signal. To achive this, I am trying to add Gaussian noise to the hourly consumption signal. I would like to specify the mu and sigma values if possible around that noise.

I am trying awgn but it does not seem like i can add sigma and mu values.

Thank you for your time

Answer 1

[Daniel Pollard]

randn is a uniformly distributed random variable with mean of zero and standard deviation of 1. To get what you want, use

variable = mu + sigma*randn(1,1).

[Image Analyst]

And attach your "1 hour consumption signal" in a .mat file or a text file if you need more help.

[Ricardo López]

Actually yes, thank you. Here is my hourly data: It is a vector containing 168 rows. I would like to transform it into a 10 min time-step with added white noise, resulting in a 1008 vector (168hours into 10 minutes). So the mean being each value of my hourly vector.

Thanks!