<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Sampling Theorem on Mi&amp;Bee Blog</title><link>/en/tags/sampling-theorem/</link><description>Recent content in Sampling Theorem on Mi&amp;Bee Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>蓝宝石的傻话</managingEditor><lastBuildDate>Mon, 04 May 2026 10:00:00 +0800</lastBuildDate><atom:link href="/en/tags/sampling-theorem/rss.xml" rel="self" type="application/rss+xml"/><item><title>Acoustic Waves &amp; Digital Signal Processing Basics</title><link>/en/posts/physical-world/acoustics-dsp-basics/</link><pubDate>Mon, 04 May 2026 10:00:00 +0800</pubDate><guid>/en/posts/physical-world/acoustics-dsp-basics/</guid><description>&lt;h2 id="destructive-interference"&gt;Destructive Interference&lt;/h2&gt;
&lt;p&gt;Active noise cancellation (ANC) builds on a simple physical principle: destructive interference. Two sound waves of the same frequency and opposite phase cancel each other out.&lt;/p&gt;
&lt;p&gt;The original noise signal:&lt;/p&gt;
&lt;p&gt;$$
p_n(t) = A \cos(2\pi ft + \phi)
$$&lt;/p&gt;
&lt;p&gt;The anti-noise generated by the ANC system:&lt;/p&gt;
&lt;p&gt;$$
p_c(t) = -A \cos(2\pi ft + \phi) = A \cos(2\pi ft + \phi + \pi)
$$&lt;/p&gt;
&lt;p&gt;Superposition:&lt;/p&gt;
&lt;p&gt;$$
p_{\text{total}} = p_n(t) + p_c(t) = 0
$$&lt;/p&gt;</description></item></channel></rss>