Gaussian white noise
Type: Concept
As of November 2026, Gaussian white noise has been mentioned in one podcast episode on ICLR (May 2015). Used in the synthesis procedure to generate synthetic images.
In signal processing, white noise is a random signal having equal intensity at different frequencies, giving it a constant power spectral density. The term is used with this or similar meanings in many scientific and technical disciplines, including physics, acoustical engineering, telecommunications, and statistical forecasting. White noise refers to a statistical model for signals and signal sources, not to any specific signal. White noise draws its name from white light, although light that a
| Mentioned in | 1 episode on 1 podcast (as of November 2026) |
|---|---|
| First heard | May 2015 on ICLR |
| Field | Statistics |
Who talks about Gaussian white noise on podcasts?
Gaussian white noise came up; the most recent mention was May 2015 on ICLR.
- ICLR2015-olivier-henaff on ICLR (May 2015)
What is Gaussian white noise mentioned alongside?
Gaussian white noise is most often mentioned alongside Oriented band pass filters, Visual system and Gradient Descent.
Mentioned together: Oriented band pass filters, Visual system, Gradient Descent, Unsupervised learning problem, Gaussian scale mixture, Wavelet decomposition, Natural Images, Fourier space, Eigenvalue decomposition, Synthesis procedure