How to generate normalised random numbers in between -0.3 to 0.3?

Actually I wan to generate some numbers between -0.3 to +0.3.I want to use these numbers as a the sampled values of any random noise to add these further with a discrete signal.

Answer 1

[TADA]

noise = rand(1,10)*0.6 - 0.3

noise =

    0.0973    0.0479    0.2486    0.1055   -0.1262   -0.0478    0.0915   -0.1104    0.0098    0.2665

    

or more generally:

    noiseAmp = 0.3;
    noise = rand(1,10) * 2 * noiseAmp - noiseAmp;

[Walter Roberson]

Note though that uniform distributed random noise is not typical of noise sources. Random noise is much more likely to have a different form such as normally distributed (also known as Gaussian)

[TADA]

true, you can then use normrnd

lets say:

noise = normrnd(0, 0.15, 1, 10)

note that with a standard deviation of 0.15 and a mean value of 0, roughly 95% of the numbers will be between -0.3 and 0.3 and theres no guarantee that you won't have anomalies above/below the maximal noise signal you requested