<?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>Overfitting on SignalForge Engineering Notes</title><link>https://blog.signal-forge.app/tags/overfitting/</link><description>Recent content in Overfitting on SignalForge Engineering Notes</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 23 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.signal-forge.app/tags/overfitting/index.xml" rel="self" type="application/rss+xml"/><item><title>Why Over-Optimization Breaks DSP Filters in Production Systems</title><link>https://blog.signal-forge.app/posts/why-over-optimization-breaks-dsp-filters-in-production/</link><pubDate>Mon, 23 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.signal-forge.app/posts/why-over-optimization-breaks-dsp-filters-in-production/</guid><description>An engineering analysis of why aggressively optimized DSP filters often fail in real-world systems, explaining numerical sensitivity, instability, and robustness tradeoffs.</description></item></channel></rss>