public void GetBackwardPrediction_SinInput_ReturnsCorrectPrediction()
{
const int coefNumber = 4;
const int historyLength = 512;
const int numberOfSamplesToCheck = 10;
var inputAudio =
new double[historyLength + numberOfSamplesToCheck];
for (var i = 0; i < inputAudio.Length; i++)
{
inputAudio[i] = Math.Sin(
2 * Math.PI * i / (historyLength / 5.2));
}
var fba = new FastBurgAlgorithm64(inputAudio);
for (var index = historyLength + 1;
index < historyLength + numberOfSamplesToCheck;
index++)
{
fba.Train(index, coefNumber, historyLength);
var backwardPrediction = fba.GetBackwardPrediction();
Assert.AreEqual(
inputAudio[index - historyLength - 1],
backwardPrediction,
0.000001);
}
}
/// <inheritdoc/>
public double GetBackward(double[] samples)
{
var fastBurgAlgorithm = new FastBurgAlgorithm64(samples);
fastBurgAlgorithm.Train(
samples.Length,
this.coefficientsNumber,
this.historyLength);
return(fastBurgAlgorithm.GetBackwardPrediction());
}