<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>FFT on Bald Engineer</title><link>https://www.baldengineer.com/tag/fft</link><description>Recent content in FFT on Bald Engineer</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 09 Apr 2020 01:38:35 +0000</lastBuildDate><atom:link href="https://www.baldengineer.com/tag/fft/index.xml" rel="self" type="application/rss+xml"/><item><title>FPC1500 Review, a Rohde &amp; Schwarz Spectrum Analyzer</title><link>https://www.baldengineer.com/fpc1500-review.html</link><pubDate>Wed, 04 Apr 2018 13:00:15 +0000</pubDate><guid isPermaLink="false">https://www.baldengineer.com/?p=7076</guid><description>Everyone’s first piece of test equipment should be a multimeter. Next is probably a power supply with current limiting. For many engineers, the next step is an oscilloscope. At least those working on digital electronics. Even if you are not working with RF, do not overlook a spectrum analyzer. The Rohde &amp; Schwarz FPC1500 is three instruments in one: a Spectrum Analyzer, RF Signal Source, and a Vector Network Analyzer. In this post, I combine an FPC1500 review with an introduction to these frequency domain tools.<p><img src="https://www.baldengineer.com/wp-content/uploads/2018/03/FPC1500-Review-1600px.jpg" alt="FPC1500 Review, a Rohde &amp;amp; Schwarz Spectrum Analyzer"/></p></description></item><item><title>Teach your Arduino to listen with µSpeech</title><link>https://www.baldengineer.com/teach-your-arduino-to-listen-with.html</link><pubDate>Tue, 08 Apr 2014 15:00:11 +0000</pubDate><guid isPermaLink="false">https://www.baldengineer.com/?p=2299</guid><description>When most people say “Arduino” they mean an ATmega328 based board like the Uno. This means a simple 8-bit microcontroller with only 2K of RAM. That’s 2,048 bytes of memory to work with. So when someone asked me if the Arduino could do speech recognition, to be honest, I laughed. Then my jaw dropped when I saw µSpeech. A speech recognition library for the Arduino Uno’s ATmega328.&#10;The algorithm used is sophisticated and results will vary based on the types of words used as well as the hardware. It uses only 160 bytes of RAM.<p><img src="https://www.baldengineer.com/wp-content/uploads/2012/09/uSpeech-Banner.png" alt="Teach your Arduino to listen with µSpeech"/></p></description></item><item><title>MSGEQ7 Simple Spectrum Analyzer</title><link>https://www.baldengineer.com/msgeq7-simple-spectrum-analyzer.html</link><pubDate>Sat, 07 Jan 2012 08:51:32 +0000</pubDate><guid isPermaLink="false">https://www.baldengineer.com/?page_id=719</guid><description>Abstract Mixed Signal Integration has a cool little chip that has 7 built-in bandpass filters. Run an audio signal through it and you have an instant audio spectrum analyzer! This is a simple spectrum analyzer based on an Arduino. Each of the 5 LEDs represent a single section of the chip’s 7 sections of audio spectrum.&#10;MSGEQ7 on Adafruit Protoboard&#10;Electronics If you want to replicate this setup, here is the hardware you’ll need to get.<p><img src="https://www.baldengineer.com/wp-content/uploads/2012/01/youtube-_zYF9EcAwRg.jpg" alt="MSGEQ7 Simple Spectrum Analyzer"/></p></description></item></channel></rss>