/// <summary>
/// Parses a Mirage.Vector from a string.
/// </summary>
/// <param name="input">
/// A <see cref="System.String"/> representation of a vector
/// </param>
/// <returns>
/// A <see cref="Mirage.Vector"/>
/// </returns>
public static Mirage.Vector ParseMirageVector (string input)
{
input = input.Substring (1, input.Length - 2);
string[] rows = input.Split(';');
Mirage.Vector v = new Mirage.Vector (rows.Length);
try {
for (int i = 0; i < rows.Length; i++) {
v.d [i, 0] = float.Parse(rows [i], System.Globalization.CultureInfo.InvariantCulture);
}
} catch (Exception e) {
Log.Exception("NoNoise/DB - Mirage.Vector parse exception", e);
return null;
}
return v;
}
/// <summary>
/// Computes the median for each row of the MFCC matrix.
/// </summary>
/// <param name="mfcc">
/// The MFCC <see cref="Mirage.Matrix"/>
/// </param>
/// <returns>
/// A <see cref="Mirage.Vector"/> containing the median
/// vector of the MFCC matrix
/// </returns>
private Mirage.Vector ConvertMfccToMedian (Mirage.Matrix mfcc)
{
Mirage.Vector data = new Mirage.Vector (mfcc.rows);
for (int i = 0; i < mfcc.rows; i++) {
float [] r = new float [mfcc.columns];
for (int j = 0; j < mfcc.columns; j++) {
r [j] = mfcc.d [i, j];
}
Array.Sort<float> (r);
data.d [i, 0] = r [r.Length / 2];
}
return data;
}
/// <summary>
/// Computes the minimum for each row of the MFCC matrix.
/// </summary>
/// <param name="mfcc">
/// The MFCC <see cref="Mirage.Matrix"/>
/// </param>
/// <returns>
/// A <see cref="Mirage.Vector"/> containing the minimum
/// vector of the MFCC matrix
/// </returns>
private Mirage.Vector ConvertMfccToMin (Mirage.Matrix mfcc)
{
Mirage.Vector data = new Mirage.Vector (mfcc.rows);
for (int i = 0; i < mfcc.rows; i++) {
float min = float.PositiveInfinity;
for (int j = 0; j < mfcc.columns; j++) {
min = Math.Min (min, mfcc.d [i, j]);
}
data.d [i, 0] = min;
}
return data;
}
/// <summary>
/// Computes the maximum for each row of the MFCC matrix.
/// </summary>
/// <param name="mfcc">
/// The MFCC <see cref="Mirage.Matrix"/>
/// </param>
/// <returns>
/// A <see cref="Mirage.Vector"/> containing the maximum
/// vector of the MFCC matrix
/// </returns>
private Mirage.Vector ConvertMfccToMax (Mirage.Matrix mfcc)
{
Mirage.Vector data = new Mirage.Vector (mfcc.rows);
for (int i = 0; i < mfcc.rows; i++) {
float max = float.NegativeInfinity;
for (int j = 0; j < mfcc.columns; j++) {
max = Math.Max (max, mfcc.d [i, j]);
}
data.d [i, 0] = max;
}
return data;
}
/// <summary>
/// Computes the squared mean for each row of the MFCC matrix.
/// </summary>
/// <param name="mfcc">
/// The MFCC <see cref="Mirage.Matrix"/>
/// </param>
/// <returns>
/// A <see cref="Mirage.Vector"/> containing the squared mean
/// vector of the MFCC matrix
/// </returns>
private Mirage.Vector ConvertMfccToSqrMean (Mirage.Matrix mfcc)
{
Mirage.Vector data = new Mirage.Vector (mfcc.rows);
for (int i = 0; i < mfcc.rows; i++) {
data.d [i, 0] = 0;
for (int j = 0; j < mfcc.columns; j++) {
data.d [i, 0] += (float) Math.Pow (mfcc.d [i, j], 2);
}
data.d [i, 0] = (float) Math.Sqrt (data.d [i, 0]);
}
return data;
}
/// <summary>
/// Test method for insert/select of a Mirage.Vector into/from the database.
/// </summary>
/// <returns>
/// True if the vector is still the same after inserting it into the
/// database and reading it from there again. False otherwise.
/// </returns>
private bool DBMirageVectorTest()
{
Mirage.Vector v = new Mirage.Vector (20);
Random r = new Random ();
for (int i = 0; i < v.rows; i++) {
v.d [i, 0] = (float) r.NextDouble ();
}
Mirage.Vector v2 = DataParser.ParseMirageVector (DataParser.MirageVectorToString (v));
if (v.rows != v2.rows) {
Hyena.Log.Warning ("NoNoise/Testing - mirage vectors don't have the same length");
return false;
}
for (int i = 0; i < v.rows; i++) {
if (!v.d [i, 0].ToString ().Equals (v2.d [i, 0].ToString ())) { // string precision
Hyena.Log.WarningFormat ("NoNoise/Testing - values at pos {0} are not the same ({1} | {2})",
i, v.d [i, 0], v2.d [i, 0]);
return false;
}
}
return true;
}