<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Fourier on Cohomology Zero</title><link>https://jen1995.github.io/tags/fourier/</link><description>Recent content in Fourier on Cohomology Zero</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Sun, 26 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jen1995.github.io/tags/fourier/index.xml" rel="self" type="application/rss+xml"/><item><title>From the Fourier Series to the Spectrogram, Part 1: From Sound to the DFT</title><link>https://jen1995.github.io/posts/fourier-series-to-spectrogram-part-1/</link><pubDate>Sun, 26 Jul 2026 00:00:00 +0000</pubDate><guid>https://jen1995.github.io/posts/fourier-series-to-spectrogram-part-1/</guid><description>Part 1 of 3: from air pressure and a guitar string, through sampling and the Fourier series — to the DFT, derived honestly, delta functions and all.</description></item><item><title>From the Fourier Series to the Spectrogram, Part 2: Reading the DFT</title><link>https://jen1995.github.io/posts/fourier-series-to-spectrogram-part-2/</link><pubDate>Sun, 26 Jul 2026 00:00:00 +0000</pubDate><guid>https://jen1995.github.io/posts/fourier-series-to-spectrogram-part-2/</guid><description>Part 2 of 3: learning to read the DFT&amp;rsquo;s output — which bin is which frequency, why resolution is one over duration, the mirror symmetry, and the Nyquist frequency.</description></item><item><title>From the Fourier Series to the Spectrogram, Part 3: From the DFT to the Spectrogram</title><link>https://jen1995.github.io/posts/fourier-series-to-spectrogram-part-3/</link><pubDate>Sun, 26 Jul 2026 00:00:00 +0000</pubDate><guid>https://jen1995.github.io/posts/fourier-series-to-spectrogram-part-3/</guid><description>Part 3 of 3: cut the signal into frames, pay for the cut with leakage, patch it with windows, stack the columns — the spectrogram, and its mel-compressed cousin that speech models actually consume.</description></item></channel></rss>