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<title>Filtering Noise: The Basics (Part 1)</title>
<link>https://www.dsprelated.com/showarticle/1464.php</link>
<description><![CDATA[Introduction<p>Finding signals in the presence of noise is one of the fundamental quests of the discipline of signal processing. Noise is inherently random by nature, so a probability oriented approach is needed to develop a mathematical framework for filtering (i.e. removing/suppressing) noise. This framework or discipline, formally referred to as&nbsp;stochastic signal processing, is often...]]></description>
<pubDate>Sat, 17 Sep 2022 23:00:07 +0000</pubDate>
<author>Aditya Dua</author>
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<title>Smaller DFTs from bigger DFTs</title>
<link>https://www.dsprelated.com/showarticle/1224.php</link>
<description><![CDATA[Introduction<p>Let's consider the following hypothetical situation: You have a sequence $x$ with $N/2$ points and a black box which can compute the DFT (Discrete&nbsp;Fourier Transform) of an $N$ point sequence. How will you use the black box to compute the $N/2$ point DFT of $x$? While the problem&nbsp;may&nbsp;appear&nbsp;to be a bit&nbsp;contrived, the answer(s) shed light on some basic yet...]]></description>
<pubDate>Tue, 22 Jan 2019 06:49:37 +0000</pubDate>
<author>Aditya Dua</author>
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