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| | bartwronski.com
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| | Recently, numerous academic papers in the machine learning / computer vision / image processing domains (re)introduce and discuss a "frequency loss function" or "spectral loss" - and while for many it makes sense and nicely improves achieved results, some of them define or use it wrongly. The basic idea is - instead of comparing pixels...
| | cyclostationary.blog
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| | The basics of how to convert a continuous-time signal into a discrete-time signal without losing information in the process. Plus, how the choice of sampling rate influences CSP.
| | 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,...
| | www.jeremymorgan.com
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| Want to learn about PyTorch? Of course you do. This tutorial covers PyTorch basics, creating a simple neural network, and applying it to classify handwritten digits.