New Minim for 2.0

java/libraries/minim/examples/AnalyzeSound/AnalyzeSound.pde

@@ -0,0 +1,55 @@
+/**
+  * This sketch demonstrates how to use an FFT to analyze
+  * the audio being generated by an AudioPlayer.
+  * <p>
+  * FFT stands for Fast Fourier Transform, which is a 
+  * method of analyzing audio that allows you to visualize 
+  * the frequency content of a signal. You've seen 
+  * visualizations like this before in music players 
+  * and car stereos.
+  */
+
+import ddf.minim.analysis.*;
+import ddf.minim.*;
+
+Minim       minim;
+AudioPlayer jingle;
+FFT         fft;
+
+void setup()
+{
+  size(512, 200, P3D);
+  
+  minim = new Minim(this);
+  
+  // specify that we want the audio buffers of the AudioPlayer
+  // to be 1024 samples long because our FFT needs to have 
+  // a power-of-two buffer size and this is a good size.
+  jingle = minim.loadFile("jingle.mp3", 1024);
+  
+  // loop the file indefinitely
+  jingle.loop();
+  
+  // create an FFT object that has a time-domain buffer 
+  // the same size as jingle's sample buffer
+  // note that this needs to be a power of two 
+  // and that it means the size of the spectrum will be half as large.
+  fft = new FFT( jingle.bufferSize(), jingle.sampleRate() );
+  
+}
+
+void draw()
+{
+  background(0);
+  stroke(255);
+  
+  // perform a forward FFT on the samples in jingle's mix buffer,
+  // which contains the mix of both the left and right channels of the file
+  fft.forward( jingle.mix );
+  
+  for(int i = 0; i < fft.specSize(); i++)
+  {
+    // draw the line for frequency band i, scaling it up a bit so we can see it
+    line( i, height, i, height - fft.getBand(i)*8 );
+  }
+}