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cyclostationary.blog | ||
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www.jeremykun.com
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| | | | | In our last primer we saw the Fourier series, which flushed out the notion that a periodic function can be represented as an infinite series of sines and cosines. While this is fine and dandy, and quite a powerful tool, it does not suffice for the real world. In the real world, very little is truly periodic, especially since human measurements can only record a finite period of time. Even things we wish to explore on this blog are hardly periodic (for instance, image analysis). | |
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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... | |
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ataspinar.com
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| | | | | [latexpage] Introduction Stochastic Signal Analysis is a field of science concerned with the processing, modification and analysis of (stochastic) signals. Anyone with a background in Physics or En... | |
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jamie-wong.com
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| | | How might you go about simulating rain? Or any physical process over time, for that matter? | ||
