- What is the difference between white noise and Gaussian noise?
- What are the characteristics of Gaussian noise?
- Is white Gaussian noise independent?
- Is white noise a Gaussian process?
What is the difference between white noise and Gaussian noise?
Gaussian noise means the probability density function of the noise has a Gaussian distribution, which basically defines the probability of the signal having a certain value. Whereas white noise simply means that the signal power is distributed equally over time.
What are the characteristics of Gaussian noise?
Gaussian noise, named after Carl Friedrich Gauss, is a term from signal processing theory denoting a kind of signal noise that has a probability density function (pdf) equal to that of the normal distribution (which is also known as the Gaussian distribution).
Is white Gaussian noise independent?
Gaussian white noise (GWN) is a stationary and ergodic random process with zero mean that is defined by the following fundamental property: any two values of GWN are statis- tically independent now matter how close they are in time.
Is white noise a Gaussian process?
The thermal noise in electronic systems is usually modeled as a white Gaussian noise process. It is usually assumed that it has zero mean μX=0 and is Gaussian.