If I have a vector a, which is not follow normal distribution. How do I transform them into normal distribution in MATLAB?

which means I create a new vector b that follow the normal distribution and have the information of a.

Answer:

I hope I get you right:

assume you have a vector **a**, and you would like to get a normal distribution that represents it.

[correct me if I am wrong]

```
>>a = randn(2); //your vector
>>x=[-10:0.1:10];
>> y = gaussmf(x,[std(a) mean(a)]); //std(a)=sigma,mean(a)=mu
>> plot(x,y);
```

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