<?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>滤波 on LeventureTecTips</title><link>https://leventureqys.github.io/tags/%E6%BB%A4%E6%B3%A2/</link><description>Recent content in 滤波 on LeventureTecTips</description><generator>Hugo -- 0.152.2</generator><language>en</language><lastBuildDate>Thu, 18 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://leventureqys.github.io/tags/%E6%BB%A4%E6%B3%A2/index.xml" rel="self" type="application/rss+xml"/><item><title>带噪信号的趋势分析方法</title><link>https://leventureqys.github.io/posts/%E4%BF%A1%E5%8F%B7%E9%99%8D%E5%99%AA%E6%96%B9%E6%B3%95%E5%AF%B9%E6%AF%94%E5%88%86%E6%9E%90/</link><pubDate>Thu, 18 Jun 2026 00:00:00 +0000</pubDate><guid>https://leventureqys.github.io/posts/%E4%BF%A1%E5%8F%B7%E9%99%8D%E5%99%AA%E6%96%B9%E6%B3%95%E5%AF%B9%E6%AF%94%E5%88%86%E6%9E%90/</guid><description>对比卡尔曼滤波、Holt-Winters、高斯平滑、Butterworth、Savitzky-Golay 等方法的降噪效果，附完整代码与可视化仪表盘</description></item></channel></rss>