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

 采纳的回答

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).

2 个评论

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

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