FFT

The Fast Fourrier Transform analysis.

  let m = maximilian();

  let fftSize = 1024;
  let magMult = 6;
  let wave = 0;
 
  let playAudio = () => {

    let myOsc = new m.maxiOsc();
    let myOsc2 = new m.maxiOsc();
    let maxiAudio = new m.maxiAudio();
    let samplePlayer = new m.maxiSample();
    let fft = new m.maxiFFT();
    let magnitudes = new m.VectorFloat();
    let mags = new Float32Array();
  	
    maxiAudio.init();
    maxiAudio.loadSample("audio/beat2.wav", samplePlayer);	
    fft.setup(fftSize, 512, 256);
     
    maxiAudio.play = function () {

      wave = samplePlayer.play();
      
      if (fft.process(wave, 0)) {
        magnitudes = fft.getMagnitudesDB();
        console.log(magnitudes);        
        for (let i = 0; i < fftSize / 2; i++){
          mags[i] = magnitudes.get(i);
        }
        console.log(mags); 
      }
      return wave;
    }
  }

  function draw() {
    context.clearRect(0, 0, 700, 700);
    context.fillStyle = "#FF0000";
    context.font = "30px Arial";
    context.fillText("FFT", 70, 200);
    for (let i = 0; i < fftSize / 2; i++) {
      context.beginPath();
      context.rect(
      fftDraw.barsLeft + i,
      fftDraw.barsBottom,
      fftDraw.barsSize,
      -(fft.getMagnitude(i) * fftDraw.magMult));
      context.fill();
      context.closePath();
    }
  }

  const playButton = document.getElementById('playButton');
  playButton.addEventListener("click", () => playAudio());

  window.onload = function setup() {
    let canvas = document.getElementById("myCanvas");
    context = canvas.getContext("2d");
    // return setInterval(draw, 40);
  }