Crucial Features of Gaussian Random Variables

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Crucial Features of Gaussian Random Variables
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Contents

• Introduction
• Important Features of the Gaussian Random
  Variables
• How Dream Assignment can help you with Statistics
  Assignment
• Advantages of using Dream Assignment
• Learn More

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Introduction
Gaussian RandomVariables is basically used for
the digital communications during the analysis of
various transceiver systems. For example,
generating random signal, it consists a Gaussian
Distribution. By using the random function
Matlab, they are able to generate 100k samples
for the Gaussian Random Variables.
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Important Features of the Gaussian Random
Variables.
When a random variables with Gaussian
Distribution is often normally distributed, and
known as the normal deviate. Here some of the
features listed below 1. It describes the
probability of the function that describes how
the functions values of the variables are
distributed. 2. When a system transmits binary
data by using baseband PAM system, the random
variables helps to determine the theoretical
transmission bandwidth for every roll off factors

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Important Features of the Gaussian Random
Variables.
3. It helps to determine the upper and the lower
symbol error of the probability. 4. Also, the
helps to identify the rate at which information
transferring via channel. 5. It helps to
determine the rate at which the analog signal at
which rate it was sampled as well as the maximum
frequency component of the singal.
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