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bartwronski.com | ||
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therealmjp.github.io
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| | | | | For a theoretical understanding of aliasing and anti-aliasing, we can turn to the fields of signal processing[1] and sampling theory[2]. This article will explain some of the basics ofthese two related field in my own words, taking a more theoretical point of view. In the following article the concepts covered here will be used to analyze common aspects of real-time graphics, so that we can describe them in terms of signal processing. | |
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blog.demofox.org
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| | | | | The python code that goes along with this blog post can be found at https://github.com/Atrix256/InverseDFTProblems To evaluate the quality of a blue noise texture, you can analyze it in frequency space by taking a discrete Fourier transform. What you want to see is something that looks like tv static (white noise) with a darkened center,... | |
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sander.ai
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| | | | | A deep dive into spectral analysis of diffusion models of images, revealing how they implicitly perform a form of autoregression in the frequency domain. | |
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almostsuremath.com
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| | | The monotone class theorem is a very helpful and frequently used tool in measure theory. As measurable functions are a rather general construct, and can be difficult to describe explicitly, it is common to prove results by initially considering just a very simple class of functions. For example, we would start by looking at continuous... | ||
