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

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Soumyadeep Paul
Soumyadeep Paul 2019-3-28
编辑： TADA 2019-3-28
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.

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TADA
TADA 2019-3-28
编辑：TADA 2019-3-28
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;
  2 个评论
Walter Roberson
Walter Roberson 2019-3-28
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
TADA 2019-3-28
编辑：TADA 2019-3-28
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

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