# normal distribution

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Related to Gaussian random variable: Normal random variable, Gaussian density
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## Synonyms for normal distribution

### a theoretical distribution with finite mean and variance

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References in periodicals archive ?
Gaussian random variables with mean zero and variance [[sigma].
ABSTRACT: Concept of both real and complex Gaussian Random Variables (GRVs) and their corresponding Gaussian Random processes (GRPs) is very important and critical for understanding and designing of a real Communication System.
21] that is to say, channels are symmetrical to each other and not interfere with each other, which further proved that H and W are in line with Gaussian random variables in Gaussian model, that is, 0 is the mean, and variance is the following expression:
Therefore, an application of theoretical bit error rate curves based on the consideration that interference is Gaussian random variable, and cannot be recommended for such spreading sequences.
can be approximated by a Gaussian random variable with the same set of assumptions as under hypothesis [H.
0] is a numeric constant; [epsilon] is a zero-mean Gaussian random variable with standard deviation [[sigma].
In order to determine quantiles of an inverse Gaussian random variable Y with parameters [mu] > 0 and [lambda] > 0, use the fact that the distribution of X = [lambda] Y/[[mu].
Any correct computation of the mixing of Gaussian processes relies on one fundamental fact: Let X be a Gaussian random variable with mean [Mu] and standard deviation [Sigma].
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