<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Audio - Tag - Lewis Watson</title><link>http://lnwatson.co.uk/tags/audio/</link><description>Audio - Tag - Lewis Watson</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Sun, 26 May 2024 00:00:00 +0000</lastBuildDate><atom:link href="http://lnwatson.co.uk/tags/audio/" rel="self" type="application/rss+xml"/><item><title>2D Spectrogram for CTF Stego Challenges</title><link>http://lnwatson.co.uk/posts/2d-spectrogram/</link><pubDate>Sun, 26 May 2024 00:00:00 +0000</pubDate><author>Author</author><guid>http://lnwatson.co.uk/posts/2d-spectrogram/</guid><description>Understanding Spectrograms A spectrogram is a visual representation of the spectrum of frequencies in a signal as it varies over time. It provides a way to analyse how the frequency content of a signal changes, which is particularly useful in fields such as audio analysis, speech processing, and also seismology (the study of earthquakes).
Source: Spectrogram Wikipedia
How Spectrograms Work So how do spectrograms work? A spectrogram displays time on the x-axis and frequency on the y-axis.</description></item></channel></rss>