<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Digital Signal Processing on AI VOID</title><link>https://ai-blog.noorshomelab.dev/categories/digital-signal-processing/</link><description>Recent content in Digital Signal Processing on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 12 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/categories/digital-signal-processing/index.xml" rel="self" type="application/rss+xml"/><item><title>Digital Beamforming and Real-time Signal Processing</title><link>https://ai-blog.noorshomelab.dev/quadrf-phased-array-sdr-2026-07/digital-beamforming-signal-processing/</link><pubDate>Sun, 12 Jul 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/quadrf-phased-array-sdr-2026-07/digital-beamforming-signal-processing/</guid><description>&lt;p&gt;The ability to electronically steer radio beams without moving parts, or even &amp;ldquo;see&amp;rdquo; RF signals through obstacles, sounds like science fiction. Yet, these are the practical applications driven by advanced phased-array radio systems, which combine sophisticated antenna design with powerful digital signal processing.&lt;/p&gt;
&lt;p&gt;This chapter dives into the core architectural components and signal processing techniques that enable such capabilities. We&amp;rsquo;ll explore how a system like the conceptual QuadRF phased-array radio might leverage an FPGA for real-time processing and a Raspberry Pi 5 for higher-level control, enabling applications from precise drone tracking to novel environmental sensing. Understanding these principles is crucial for anyone looking to design, implement, or even just debug modern wireless communication and sensing platforms.&lt;/p&gt;</description></item></channel></rss>