<?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>IIR Stability on SignalForge Engineering Notes</title><link>https://blog.signal-forge.app/tags/iir-stability/</link><description>Recent content in IIR Stability on SignalForge Engineering Notes</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 19 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.signal-forge.app/tags/iir-stability/index.xml" rel="self" type="application/rss+xml"/><item><title>Embedded DSP Filter Stability: FIR vs IIR, High-Q Risk, Fixed-Point Failure Modes</title><link>https://blog.signal-forge.app/posts/fixed-point-dsp-filter-stability/</link><pubDate>Thu, 19 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.signal-forge.app/posts/fixed-point-dsp-filter-stability/</guid><description>A practical engineering framework for stability in embedded DSP filters: mathematical vs numerical vs system stability, high-Q IIR risk, fixed-point limit cycles, FIR vs IIR tradeoffs, and deployable decision rules.</description></item><item><title>Constraint-Driven DSP Filter Design: From Trial-and-Error to Auditable Engineering Decisions</title><link>https://blog.signal-forge.app/posts/constraint-driven-dsp-filter-design/</link><pubDate>Sat, 14 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.signal-forge.app/posts/constraint-driven-dsp-filter-design/</guid><description>Why automated filtering fails without explicit engineering constraints, numerical stability guardrails, and quantitative verification.</description></item></channel></rss>