<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dft on icyveins7's blog</title><link>https://icyveins7.github.io/tags/dft/</link><description>Recent content in Dft on icyveins7's blog</description><generator>Hugo</generator><language>en-us</language><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Mon, 15 Jul 2024 20:00:00 +0800</lastBuildDate><atom:link href="https://icyveins7.github.io/tags/dft/index.xml" rel="self" type="application/rss+xml"/><item><title>Some notes on 2D real-to-complex Fourier transforms</title><link>https://icyveins7.github.io/posts/2024/07/some-notes-on-2d-real-to-complex-fourier-transforms/</link><pubDate>Mon, 15 Jul 2024 20:00:00 +0800</pubDate><guid>https://icyveins7.github.io/posts/2024/07/some-notes-on-2d-real-to-complex-fourier-transforms/</guid><description>&lt;blockquote&gt;&#10;&lt;p&gt;IPP in particular has some very niche ways of packing R2C DFT output, but otherwise there&amp;rsquo;s a few pointers here to keep in mind for how they are implemented in most libraries.&lt;/p&gt;&#10;&lt;/blockquote&gt;&#10;&lt;p&gt;It&amp;rsquo;s pretty well known that the output of a Fourier transform of real inputs has symmetric properties. This is due to the fact that real waves consist of two conjugate pairs of complex exponentials.&lt;/p&gt;&#10;&lt;p&gt;What may be a bit less obvious (at least to me, when examining some programming libraries) is exactly how many useful output elements there are, and under which scenarios. In particular, I looked at IPP (which has some special packed structure), and cuFFT/NumPy/SciPy (which follow the FFTW structure I think).&lt;/p&gt;</description></item></channel></rss>