public FrequencyChart AnalyzeSound(double[] sound)
{
var sample = sound;
var amp = Math.Sqrt(sample.Average(k => k * k));
var ampMax = sample.Max(k => Math.Abs(k));
var l = AnalyzeUtils.FindMinMorePow(sound.Length);
Array.Resize(ref sample, l);
double[] real;
double[] img;
trans.TransformForward(sample, out real, out img);
// var chart = new FrequencyChart (ampMax, amp,
// real.Zip (img, (r, i) => Math.Sqrt (r * r + i * i))
// .Zip (frqs, (a, f) => new FrequencyPair (f, a))
// .Where (k => k.Frequency > 0)
// .ToArray ());
var chart = new FrequencyChart(ampMax, amp,
real.Zip(frqs, (a, f) => new FrequencyPair(f, Math.Abs(a)))
.Where(k => k.Frequency > 0)
.ToArray());
return(chart);
}
public FrequencyChart CutOffLows(FrequencyChart chart, double cutoffLevel)
{
var t = new FrequencyChart(chart.TotalLevel, chart.AverageLevel, chart);
for (int i = 0, tCount = t.Count; i < tCount; i++)
{
var e = t [i];
e.Level = cutoffLevel > 0?(e.Level > cutoffLevel ? e.Level : 0):(e.DBLevel < cutoffLevel ? e.Level : 0);
}
return(t);
}
public FrequencyChart Zoom(FrequencyChart chart)
{
var l = new List <FrequencyPair> ();
for (int i = 0; i < chart.Count; i++)
{
if (GetFromArray(chart, i).Level < GetFromArray(chart, i + 1).Level&& GetFromArray(chart, i).Level < GetFromArray(chart, i - 1).Level ||
GetFromArray(chart, i).Level > GetFromArray(chart, i + 1).Level&& GetFromArray(chart, i).Level > GetFromArray(chart, i - 1).Level)
{
l.Add(GetFromArray(chart, i));
}
}
return(new FrequencyChart(l));
}
public FrequencyChart CutEdges(FrequencyChart chart, double lowBound, double highBound)
{
var t = chart.Where(k => k.Frequency >= lowBound && k.Frequency <= highBound);
if (!t.Any())
{
return(new FrequencyChart(0, 0, new List <FrequencyPair> ()));
}
return(new FrequencyChart(
t.Max(k => k.Level),
t.Average(k => k.Level),
t
));
}
public FrequencyChart ApplyWindow(FrequencyChart chart)
{
if (chart.Count != window.Count())
{
throw new Exception();
}
var e = new FrequencyChart(chart.TotalLevel, chart.AverageLevel, chart);
for (int i = 0; i < chart.Count; i++)
{
var d = e [i].Level * window [i];
e [i].Level = d;
}
return(e);
}
public FrequencyChart AnalyzeSound(Complex[] sound, int offset)
{
var sample = new Complex[window.Length];
Array.Copy(sound, offset, sample, 0, window.Length);
Fourier.Radix2Forward(sample, FourierOptions.Default);
var chart = new FrequencyChart(
sample.Select(k => k.Magnitude * 2 / (sample.Length))
.Zip(frqs, (a, f) => new FrequencyPair(f, a))
.Where(k => k.Frequency > 0)
.ToArray());
return(chart);
}
public FrequencyChart BandGrouping(Bands bands, FrequencyChart chart, double threshHold)
{
var freqs = bands.Frequencies;
var workCharts = chart.Where(k => k.Level > threshHold).ToArray();
var newChart = new FrequencyChart(chart.TotalLevel, chart.AverageLevel, new List <FrequencyPair>());
var curBand = 0;
var curUpBound = freqs[curBand];
int curFreqInBand = 0;
var curPair = new FrequencyPair(curUpBound, 0);
for (int i = 0; i < workCharts.Count; i++)
{
var sample = workCharts [i];
if (sample.Frequency < curUpBound)
{
curPair.Level += sample.Level;
}
else if (freqs.Count > curBand)
{
curPair.Level /= curFreqInBand;
curFreqInBand = 0;
while (sample.Frequency > curUpBound)
{
curBand++;
if (freqs.Count <= curBand)
{
curUpBound = freqs[freqs.Count - 1] * 10;
}
else
{
curUpBound = freqs[curBand];
}
}
newChart.Add(curPair);
curPair = new FrequencyPair(curUpBound, sample.Level);
}
curFreqInBand++;
}
return(newChart);
}
public FrequencyChart MaxFrequenciesAnalyze(FrequencyChart chart, double cutoffLevel)
{
var frClusters = chart.Where(k3 => k3.Level > cutoffLevel).ToArray();
if (!frClusters.Any())
{
return(new FrequencyChart(0, 0, new List <FrequencyPair> ()));
}
frClusters = frClusters
.ClusterBy(k => k.Frequency, 0.01)
.Select(k => new FrequencyPair(k.Average(k3 => k3.Frequency), k.Average(k3 => k3.Level))).ToArray();
var newChart = new FrequencyChart(chart.TotalLevel, chart.AverageLevel,
frClusters.OrderBy(k => k.Frequency)
);
return(newChart);
}
public FrequencyChart BandGrouping(Bands bands, FrequencyChart chart)
{
Debug.Assert(bands.Notes.Count >= 2);
var freqs = bands.Notes.Select(k => k.Frequency).ToArray();
var curBand = 0;
var t = new List <FrequencyPair> ();
var lowPair = new FrequencyPair(bands.Notes[0].Frequency, 0);
var highPair = new FrequencyPair(bands.Notes[1].Frequency, 0);
t.Add(highPair);
t.Add(lowPair);
for (int i = 0; i < chart.Count; i++)
{
var sample = chart [i];
while (sample.Frequency > highPair.Frequency)
{
if (curBand == bands.Notes.Count - 1)
{
goto C1;
}
lowPair = highPair;
curBand++;
highPair = new FrequencyPair(bands.Notes [curBand].Frequency, 0);
t.Add(highPair);
}
lowPair.Level += sample.Level * Math.Round((sample.Frequency - lowPair.Frequency) / (highPair.Frequency - lowPair.Frequency));
highPair.Level += sample.Level * Math.Round((highPair.Frequency - sample.Frequency) / (highPair.Frequency - lowPair.Frequency));
}
C1 : return(new FrequencyChart(t));
}
public FrequencyChart LocalizeMaximums(FrequencyChart chart, int gapCount)
{
if (!chart.Any())
{
return(chart);
}
var list = new List <FrequencyPair> ();
bool raising = true;
FrequencyPair localMax = chart[0];
FrequencyPair lastMeaninful = chart[0];
for (var i = 0; i < chart.Count; i++)
{
double derivation;
var cur = GetFromArray(chart, i);
derivation = cur.Level - lastMeaninful.Level;
if (raising)
{
if (derivation >= 0)
{
localMax = cur;
lastMeaninful = localMax;
}
else
{
bool shouldContinueRaising = false;
for (int j = i + 1; j <= i + gapCount; j++)
{
if (GetFromArray(chart, j).Level - lastMeaninful.Level >= 0)
{
lastMeaninful = GetFromArray(chart, j);
shouldContinueRaising = true;
break;
}
}
if (!shouldContinueRaising)
{
list.Add(localMax);
lastMeaninful = cur;
raising = false;
}
}
}
else
{
if (derivation <= 0)
{
lastMeaninful = cur;
}
else
{
bool shouldStartRaising = true;
for (int j = i + 1; j <= i + gapCount; j++)
{
if (GetFromArray(chart, j).Level - lastMeaninful.Level <= 0)
{
lastMeaninful = GetFromArray(chart, j);
shouldStartRaising = false;
break;
}
}
if (shouldStartRaising)
{
localMax = cur;
lastMeaninful = cur;
raising = true;
}
}
}
}
if (raising)
{
list.Add(chart[chart.Count - 1]);
}
return(new FrequencyChart(list));
}