public void setup() {
brek = new AudioSample[4][4];
// load audio samples
minim = new Minim(this);
for (int i = 0; i < 4; i++) {
println("break-beat-0" + (i + 1) + ".mp3");
brek[i][0] = minim.loadSample("break-beat-0" + (i + 1) + ".mp3", 512);
brek[i][1] = minim.loadSample("break-perc-0" + (i + 1) + ".mp3", 512);
brek[i][2] = minim.loadSample("break-piano-0" + (i + 1) + ".mp3", 512);
brek[i][3] = minim.loadSample("break-strings-0" + (i + 1) + ".mp3", 512);
}
size(cellSize * cols, cellSize * rows);
// bytes[0]=0;
// bytes[1]=1;
grid = new Cell[cols][rows];
for (int i = 0; i < cols; i++) {
for (int j = 0; j < rows; j++) {
grid[i][j] = new Cell(i * cellSize, j * cellSize, cellSize, cellSize);
}
}
println(Serial.list());
String portName = Serial.list()[2];
myPort = new Serial(this, portName, 9600);
}
public void setup() {
int window_height = 220;
size((int) (window_height * 5.12f), 220);
canvas = createGraphics((int) (window_height * 5.12f) / 2, 220, JAVA2D);
textMode(SCREEN);
textFont(createFont("SanSerif", 12));
minim = new Minim(this);
in = minim.getLineIn(Minim.MONO, buffer_size, sample_rate);
// create an FFT object that has a time-domain buffer
// the same size as line-in's sample buffer
fft = new FFT(in.bufferSize(), in.sampleRate());
// Tapered window important for log-domain display
fft.window(FFT.HAMMING);
// initialize peak-hold structures
peaksize = 1 + Math.round(fft.specSize() / binsperband);
peaks = new float[peaksize];
peak_age = new int[peaksize];
particles = new Particle[fft.specSize()];
for (int i = 0; i < fft.specSize(); i++) particles[i] = new Particle(i);
}
public void stop() {
in.close();
minim.stop();
super.stop();
}
// EVENTUALLY, ASSOCIATE A SOUNDFILE FROM THE CONSTRUCTOR AS WELL!!!
public Dialog(String sFile, int time, Minim m) {
timeStamp = time;
type = DIA_TIME;
ap = m.loadFile(sFile, 2048);
}
