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copied!<p>This question is about Processing (the programming environment) <em>and</em> digital signal processing (i.e. DSP)</p> <p>First, let me introduce you to your new best friend: the Fast Fourier transform. I found a great introductory article for you by <a href="http://paulbourke.net/miscellaneous/dft/" rel="nofollow">Paul Bourke.</a></p> <p>If you want to go a little deeper, checlk out: <a href="http://www.dspdimension.com/admin/dft-a-pied/" rel="nofollow">"The DFT “à Pied”: Mastering The Fourier Transform in One Day"</a>.</p> <p>The math for FFT. isn't as hard as you think it might be, and growing at a basic understanding for what's happening under the scenes will help you to properly implement a library (of which there are many) in whatever language you choose to utilize: C++ or Processing (Java). Check out the article, your brain will love you for it.</p> <p>Here's another <a href="http://sharp.bu.edu/~slehar/fourier/fourier.html" rel="nofollow">article about FFT:</a></p> <p>A great professor of mine wrote a dope FFT implementation in OpenFrameworks (C++) <a href="https://github.com/kylemcdonald/ofxFft" rel="nofollow">https://github.com/kylemcdonald/ofxFft</a> that is absolutely worth your time if you currently have (or ar interested in getting) OpenFrameworks up and running.</p> <p>However, if you want to jump into directly into playing with FFT code in processing, Minim is one library which has FFT functionality, which you can read about <a href="http://code.compartmental.net/minim/javadoc/ddf/minim/analysis/FFT.html" rel="nofollow">here.</a></p> <p>Good luck!</p>

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