<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>FFT - 标签 - HAKULA†CHANNEL</title><link>https://old.hakula.xyz/tags/fft/</link><description>FFT - 标签 - HAKULA†CHANNEL</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>i@hakula.xyz (Hakula)</managingEditor><webMaster>i@hakula.xyz (Hakula)</webMaster><lastBuildDate>Sat, 26 Mar 2022 01:37:00 +0800</lastBuildDate><atom:link href="https://old.hakula.xyz/tags/fft/" rel="self" type="application/rss+xml"/><item><title>DSP - Lab 1: FFT: 快速傅立叶变换</title><link>https://old.hakula.xyz/posts/note/dsp/fft/</link><pubDate>Sat, 26 Mar 2022 01:37:00 +0800</pubDate><author>Hakula</author><guid>https://old.hakula.xyz/posts/note/dsp/fft/</guid><description><![CDATA[<div class="featured-image">
                <img src="https://hakula-1257872502.file.myqcloud.com/images/3/article-covers/d6012c5f-1973-467d-9fba-4ac6a11f4a53_102184125.webp" referrerpolicy="no-referrer">
            </div><p>本实验中，我们实现了一个基础的 FFT 算法，使用 Python 编写。</p>
<p>Digital Signal Processing @ Fudan University, fall 2021.</p>]]></description></item></channel></rss>