Applications of Gaussian Noise
- Signal Processing: In signal processing, Gaussian noise is used to model the noise which is existing in the signals.
- Image Processing: In the image processing, Gaussian noise is incorporated to show the presence of noise when photographs are taken.
- Audio Processing: Gaussian noise as its name suggests is used to formulate background noise or static.
- Telecommunications: Particularly, Gaussian noise models are applied in assessing and designing communication systems.
- Artificial Intelligence: Different type of filters can be used in artificial intelligence for instance in Gaussian processes for machine learning.
- Statistics: In statistical models the error term is depicted by the use of Gaussian noise models.
- Data Science: Added randomness in models is incorporated in data science using what is known as the Gaussian noise models.
- Astronomy: Gaussian processes has been applied in using probabilistic models for astronomical time series .
- Molecular Biology: Based on the current description and classification, Gaussian processes are used as predictors of molecular properties.
- Speech Recognition: There are GMMs which are based on Gaussian distribution and have been used for extracting features from spoken data for use in the speech recognition systems .
Gaussian Noise
Gaussian noise, also known as Gaussian white noise, is a kind of statistical noise characterised by the probability density function of the normal distribution.It became a form of white noise that is a random signal containing frequencies of equal power. It is also used today in artificial intelligence, statistics, computer systems, computer vision, natural language processing and computational biology.