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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fundamental Distortion Limits of Analog-to-Digital Compression · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1601.06421/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1601.06421/feed.xml" rel="self" type="application/rss+xml" /><item><title>Fundamental Distortion Limits of Analog-to-Digital Compression — mentioned by gromit1987</title><link>https://news.ycombinator.com/item?id=16641177</link><guid isPermaLink="false">urn:hackerpapers:mention:1601.06421:16641177</guid><pubDate>Wed, 21 Mar 2018 18:48:47 GMT</pubDate><description>&lt;p&gt;When dealing with bits, the situation is different since algebraic degrees of freedom (dimensions or coefficients of sinusoids) are different than information degrees of freedom (bits). This difference in the context of the sampling theorem is explored in https://arxiv.org/abs/1601.06421, where it is shown that sampling below the Nyquist rate (without additional loss) is possible when the samples must be quantized to satisfy some bit (information) constraint.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1601.06421/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.IT</category></item></channel></rss>
