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      <title>Self-Hosted Audio DSP &amp; Room Correction: CamillaDSP vs BruteFIR vs LSP Plugins</title>
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      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;If you&amp;rsquo;ve ever set up a home audio system only to find that the bass response is muddy, the treble is harsh, or the stereo imaging is smeared by room reflections, you&amp;rsquo;ve encountered the fundamental challenge of room acoustics. Professional studios spend thousands on acoustic treatment, but for the rest of us, &lt;strong&gt;Digital Signal Processing (DSP)&lt;/strong&gt; offers a software-based solution. By applying precise digital filters to your audio signal, you can correct for room modes, speaker non-linearities, and crossover issues — all from a $35 Raspberry Pi.&lt;/p&gt;</description>
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      <title>Self-Hosted Signal Processing for SDR: GNU Radio vs Liquid-DSP vs SoapySDR</title>
      <link>https://www.pistack.xyz/posts/2026-06-07-self-hosted-signal-processing-sdr-gnuradio-liquid-dsp-soapysdr/</link>
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      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;Software-Defined Radio (SDR) has revolutionized RF engineering by moving signal processing from specialized hardware into software. Whether you&amp;rsquo;re decoding satellite telemetry, analyzing cellular signals, building a DIY radar, or just listening to amateur radio bands, the core of every SDR application is the &lt;strong&gt;signal processing pipeline&lt;/strong&gt; — the chain of filters, demodulators, decoders, and synchronizers that turn raw IQ samples into meaningful data.&lt;/p&gt;</description>
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