<?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>PSD Analysis on SignalForge Engineering Notes</title><link>https://blog.signal-forge.app/tags/psd-analysis/</link><description>Recent content in PSD Analysis 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/psd-analysis/index.xml" rel="self" type="application/rss+xml"/><item><title>Measuring Noise Floors Robustly Using Percentile Statistics in DSP Systems</title><link>https://blog.signal-forge.app/posts/measuring-noise-floors-robustly-using-percentile-statistics/</link><pubDate>Mon, 23 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.signal-forge.app/posts/measuring-noise-floors-robustly-using-percentile-statistics/</guid><description>An engineering explanation of why average-based noise floor estimates fail in real signals and how percentile statistics provide stable, robust measurements for DSP verification and filter design.</description></item><item><title>Quantitative Verification: Proving Filter Performance in Noisy DSP Systems</title><link>https://blog.signal-forge.app/posts/quantitative-verification-proving-filter-performance-in-noisy-systems/</link><pubDate>Mon, 23 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.signal-forge.app/posts/quantitative-verification-proving-filter-performance-in-noisy-systems/</guid><description>An engineering framework for quantitatively verifying filter performance in noisy environments using measurable suppression, noise floor statistics, and stability evidence rather than visual inspection.</description></item><item><title>Why Visual Spectra Lie in Noisy Environments</title><link>https://blog.signal-forge.app/posts/why-visual-spectra-lie-in-noisy-environments/</link><pubDate>Mon, 23 Feb 2026 00:00:00 +0000</pubDate><guid>https://blog.signal-forge.app/posts/why-visual-spectra-lie-in-noisy-environments/</guid><description>An engineering explanation of why frequency-domain plots often mislead engineers in noisy systems and how estimator variance and perception bias distort spectral interpretation.</description></item></channel></rss>