<?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>Embedded Systems on SignalForge Engineering Notes</title><link>https://blog.signal-forge.app/tags/embedded-systems/</link><description>Recent content in Embedded Systems on SignalForge Engineering Notes</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 28 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.signal-forge.app/tags/embedded-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>Multi-Rate DSP Strategies for Efficient Interference Suppression</title><link>https://blog.signal-forge.app/posts/multi-rate-dsp-interference-suppression/</link><pubDate>Sat, 28 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.signal-forge.app/posts/multi-rate-dsp-interference-suppression/</guid><description>Multi-rate DSP techniques allow efficient suppression of narrowband interference while reducing computational cost. This article explains when and how to apply multi-rate processing.</description></item><item><title>Limit Cycles in IIR Filters: Hidden Instability in Fixed-Point DSP Systems</title><link>https://blog.signal-forge.app/posts/limit-cycles-iir-filter-fixed-point/</link><pubDate>Thu, 26 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.signal-forge.app/posts/limit-cycles-iir-filter-fixed-point/</guid><description>Limit cycles cause persistent oscillations in fixed-point IIR filters even with zero input. This article explains the numerical causes and engineering strategies for mitigation.</description></item><item><title>FIR vs IIR Stability in Embedded DSP Systems: Engineering Tradeoffs Explained</title><link>https://blog.signal-forge.app/posts/fir-vs-iir-stability-in-embedded-dsp-systems/</link><pubDate>Mon, 23 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.signal-forge.app/posts/fir-vs-iir-stability-in-embedded-dsp-systems/</guid><description>A practical engineering comparison of FIR and IIR filter stability in embedded DSP systems, explaining numerical behavior, robustness, and real-world deployment tradeoffs.</description></item><item><title>Real-Time DSP: Latency vs Filter Complexity Tradeoffs in Practical Systems</title><link>https://blog.signal-forge.app/posts/real-time-dsp-latency-vs-filter-complexity/</link><pubDate>Sat, 21 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.signal-forge.app/posts/real-time-dsp-latency-vs-filter-complexity/</guid><description>In real-time DSP systems, filter sharpness and complexity directly impact latency and deployability. This article explains the engineering tradeoffs between attenuation, stability, and delay.</description></item></channel></rss>