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I've created an image to upload, but I cannot do so until I'm a confirmed user. If anyone would like to upload it for me, I'd be happy to upload it to free storage somewhere. It's just an image of a fence that I took, and then added Gaussian noise to. It'd be better than the boring normal distribution picture that's up now. Ben.appl ( talk) 21:18, 8 June 2010 (UTC)
The main source for gaussian noise in digital image is photon shot noise, not sensor noise. — Preceding unsigned comment added by 62.142.117.62 ( talk) 14:42, 20 January 2014 (UTC)
In the introduction, it says "A special case is White Gaussian noise, in which the values at any pair of times are identically distributed and statistically independent." Do they not also need to be independent of frequency? Strasburger ( talk) 16:04, 6 May 2020 (UTC)
This page seems to only contain application references to fields which call the normally distributed random variables Gaussian Noise. This should redirect to the Normal distribution page. /info/en/?search=Normal_distribution — Preceding unsigned comment added by 155.190.19.7 ( talk) 13:45, 1 March 2022 (UTC)
The redirect
White Gaussian noise has been listed at
redirects for discussion to determine whether its use and function meets the
redirect guidelines. Readers of this page are welcome to comment on this redirect at
Wikipedia:Redirects for discussion/Log/2023 July 5 § White Gaussian noise until a consensus is reached.
1234qwer
1234qwer
4
20:50, 5 July 2023 (UTC)
This article defined Gaussian noise as
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). In other words, the values that the noise can take are Gaussian-distributed.
That fails to say how this signal varies over time, and that omission makes the definition incomprehensible. Michael Hardy ( talk) 12:44, 8 July 2023 (UTC) Michael Hardy ( talk) 12:44, 8 July 2023 (UTC)
![]() | This article is rated Start-class on Wikipedia's
content assessment scale. It is of interest to the following WikiProjects: | ||||||||||||||||||||||||||||||
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I've created an image to upload, but I cannot do so until I'm a confirmed user. If anyone would like to upload it for me, I'd be happy to upload it to free storage somewhere. It's just an image of a fence that I took, and then added Gaussian noise to. It'd be better than the boring normal distribution picture that's up now. Ben.appl ( talk) 21:18, 8 June 2010 (UTC)
The main source for gaussian noise in digital image is photon shot noise, not sensor noise. — Preceding unsigned comment added by 62.142.117.62 ( talk) 14:42, 20 January 2014 (UTC)
In the introduction, it says "A special case is White Gaussian noise, in which the values at any pair of times are identically distributed and statistically independent." Do they not also need to be independent of frequency? Strasburger ( talk) 16:04, 6 May 2020 (UTC)
This page seems to only contain application references to fields which call the normally distributed random variables Gaussian Noise. This should redirect to the Normal distribution page. /info/en/?search=Normal_distribution — Preceding unsigned comment added by 155.190.19.7 ( talk) 13:45, 1 March 2022 (UTC)
The redirect
White Gaussian noise has been listed at
redirects for discussion to determine whether its use and function meets the
redirect guidelines. Readers of this page are welcome to comment on this redirect at
Wikipedia:Redirects for discussion/Log/2023 July 5 § White Gaussian noise until a consensus is reached.
1234qwer
1234qwer
4
20:50, 5 July 2023 (UTC)
This article defined Gaussian noise as
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). In other words, the values that the noise can take are Gaussian-distributed.
That fails to say how this signal varies over time, and that omission makes the definition incomprehensible. Michael Hardy ( talk) 12:44, 8 July 2023 (UTC) Michael Hardy ( talk) 12:44, 8 July 2023 (UTC)