import ddf.minim.analysis.*;
  import ddf.minim.*;
  
  Minim minim;
  AudioPlayer jingle;
  FFT fft;
  String windowName;
  
  void setup()
  {
    size(512, 200, P3D);
    textMode(SCREEN);
    minim = new Minim(this);
    
    jingle = minim.loadFile("jingle.mp3", 2048);
    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 512. see the online tutorial for more info.
    fft = new FFT(jingle.bufferSize(), jingle.sampleRate());
    textFont(createFont("Arial", 16));
    windowName = "None";
  }
  
  void draw()
  {
    background(0);
    stroke(255);
    // perform a forward FFT on the samples in jingle's left buffer
    // note that if jingle were a MONO file, this would be the same as using jingle.right or jingle.left
    fft.forward(jingle.mix);
    for(int i = 0; i < fft.specSize(); i++)
    {
      // draw the line for frequency band i, scaling it by 4 so we can see it a bit better
      line(i, height, i, height - fft.getBand(i)*4);
    }
    fill(255);
    // keep us informed about the window being used
    text("The window being used is: " + windowName, 5, 20);
  }
  
  void keyReleased()
  {
    if ( key == 'w' ) 
    {
      // a Hamming window can be used to shape the sample buffer that is passed to the FFT
      // this can reduce the amount of noise in the spectrum
      fft.window(FFT.HAMMING);
      windowName = "Hamming";
    }
    
    if ( key == 'e' ) 
    {
      fft.window(FFT.NONE);
      windowName = "None";
    }
  }
  
  void stop()
  {
    // always close Minim audio classes when you finish with them
    jingle.close();
    minim.stop();
    
    super.stop();
  }