protected internal virtual void computeSpectrogram()
{
try
{
AudioDataInputStream audioDataInputStream = new AudioDataInputStream(this.audio);
this.dataSource.setInputStream(audioDataInputStream);
ArrayList arrayList = new ArrayList();
double num = double.Epsilon;
Data data = this.frontEnd.getData();
int i;
while (!(data is DataEndSignal))
{
if (data is DoubleData)
{
double[] values = ((DoubleData)data).getValues();
double[] array = new double[values.Length];
for (i = 0; i < array.Length; i++)
{
array[i] = Math.max(Math.log(values[i]), (double)0f);
if (array[i] > num)
{
num = array[i];
}
}
arrayList.add(array);
}
data = this.frontEnd.getData();
}
audioDataInputStream.close();
int num2 = arrayList.size();
int num3 = ((double[])arrayList.get(0)).Length;
i = num3 - 1;
Dimension dimension = new Dimension(num2, num3);
this.setMinimumSize(dimension);
this.setMaximumSize(dimension);
this.setPreferredSize(dimension);
this.spectrogram = new BufferedImage(num2, num3, 1);
double num4 = (255.0 + this.offsetFactor) / num;
for (int j = 0; j < num2; j++)
{
double[] array2 = (double[])arrayList.get(j);
for (int k = i; k >= 0; k--)
{
int num5 = ByteCodeHelper.d2i(array2[k] * num4 - this.offsetFactor);
num5 = Math.max(num5, 0);
num5 = 255 - num5;
int num6 = (num5 << 16 & 16711680) | (num5 << 8 & 65280) | (num5 & 255);
this.spectrogram.setRGB(j, i - k, num6);
}
}
ReplicateScaleFilter replicateScaleFilter = new ReplicateScaleFilter(ByteCodeHelper.f2i(this.zoom * (float)num2), num3);
this.scaledSpectrogram = this.createImage(new FilteredImageSource(this.spectrogram.getSource(), replicateScaleFilter));
Dimension size = this.getSize();
this.repaint(0L, 0, 0, size.width - 1, size.height - 1);
}
catch (System.Exception ex)
{
Throwable.instancehelper_printStackTrace(ex);
}
}
protected internal virtual void computeCepstrum()
{
try
{
AudioDataInputStream audioDataInputStream = new AudioDataInputStream(this.audio);
this.dataSource.setInputStream(audioDataInputStream);
ArrayList arrayList = new ArrayList();
float[] array = new float[100];
Arrays.fill(array, float.Epsilon);
Data data = this.frontEnd.getData();
int i;
while (!(data is DataEndSignal))
{
if (data is FloatData)
{
float[] values = ((FloatData)data).getValues();
float[] array2 = new float[values.Length];
for (i = 0; i < array2.Length; i++)
{
array2[i] = values[i];
if (Math.abs(array2[i]) > array[i])
{
array[i] = Math.abs(array2[i]);
}
}
arrayList.add(array2);
}
if (data is DoubleData)
{
double[] values2 = ((DoubleData)data).getValues();
float[] array2 = new float[values2.Length];
for (i = 0; i < array2.Length; i++)
{
array2[i] = (float)values2[i];
if (Math.abs(array2[i]) > array[i])
{
array[i] = Math.abs(array2[i]);
}
}
arrayList.add(array2);
}
data = this.frontEnd.getData();
}
audioDataInputStream.close();
int num = arrayList.size();
int num2 = ((float[])arrayList.get(0)).Length;
i = num2 * 10;
Dimension dimension = new Dimension(num, i);
this.setMinimumSize(dimension);
this.setMaximumSize(dimension);
this.setPreferredSize(dimension);
this.spectrogram = new BufferedImage(num, i, 1);
for (int j = 0; j < num; j++)
{
float[] array3 = (float[])arrayList.get(j);
for (int k = num2 - 1; k >= 0; k--)
{
int num3 = 127 - ByteCodeHelper.f2i(array3[k] / array[k] * 127f);
int num4 = (num3 << 16 & 16711680) | (num3 << 8 & 65280) | (num3 & 255);
for (int l = 0; l < 10; l++)
{
this.spectrogram.setRGB(j, i - 1 - k * 10 - l, num4);
}
}
}
ReplicateScaleFilter replicateScaleFilter = new ReplicateScaleFilter(ByteCodeHelper.f2i(this.zoom * (float)num), i);
this.scaledSpectrogram = this.createImage(new FilteredImageSource(this.spectrogram.getSource(), replicateScaleFilter));
Dimension size = this.getSize();
this.repaint(0L, 0, 0, size.width - 1, size.height - 1);
}
catch (System.Exception ex)
{
Throwable.instancehelper_printStackTrace(ex);
}
}
