<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Parameter Tuning on Mi&amp;Bee Blog</title><link>/en/tags/parameter-tuning/</link><description>Recent content in Parameter Tuning on Mi&amp;Bee Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>蓝宝石的傻话</managingEditor><lastBuildDate>Mon, 25 May 2026 10:00:00 +0800</lastBuildDate><atom:link href="/en/tags/parameter-tuning/rss.xml" rel="self" type="application/rss+xml"/><item><title>ANC Tuning &amp; Performance Optimization</title><link>/en/posts/physical-world/anc-tuning-debugging/</link><pubDate>Mon, 25 May 2026 10:00:00 +0800</pubDate><guid>/en/posts/physical-world/anc-tuning-debugging/</guid><description>&lt;p&gt;In engineering practice, the most time-consuming and experience-dependent part of an active noise control system is not algorithm selection, but parameter tuning and stability debugging. Filter order, step size, sampling rate — each parameter interacts with the others in ways that are not always obvious. This article draws from hands-on experience to cover the key parameter selection logic and common troubleshooting approaches in ANC tuning.&lt;/p&gt;
&lt;h2 id="filter-order-selection"&gt;Filter Order Selection&lt;/h2&gt;
&lt;p&gt;The FIR filter order $N$ directly determines two core metrics: frequency resolution and computational complexity. Getting this choice wrong reveals itself early in debugging — poor noise reduction, slow convergence, or outright divergence.&lt;/p&gt;</description></item></channel></rss>