public double Linterp(int window, double frequency)
{
int lowerBound = freqs.BinarySearchLowerBound(frequency);
if (lowerBound == -1)
{
return(spectralValues[window, 0]);
}
if (lowerBound == freqs.Length - 1)
{
return(spectralValues[window, lowerBound]);
}
return(GeneralMath.Lerp(
spectralValues[window, lowerBound],
spectralValues[window, lowerBound + 1],
(frequency - freqs[lowerBound]) / (freqs[lowerBound + 1] - freqs[lowerBound])));
}
void ILerpAction <Image> .CallAction(float t)
{
imageColor.a = GeneralMath.Lerp(initialAlpha, finalAlpha, t);
image.color = imageColor;
}
public static void GetLevelOffset(
double level,
out double levelOffsetL,
out double levelOffsetR,
Source source = Source.Custom)
{
List <CalibrationPoint> points;
switch (source)
{
case Source.InProgress:
if (inProgressCalibration == null || inProgressCalibration.Count == 0)
{
goto case Source.Results;
}
points = inProgressCalibration;
break;
case Source.Results:
if (resultsCalibration == null || resultsCalibration.Count == 0)
{
goto case Source.Custom;
}
points = resultsCalibration;
break;
case Source.Custom:
if (customCalibration == null || customCalibration.Count == 0)
{
goto case Source.Default;
}
points = customCalibration;
break;
case Source.Default:
levelOffsetL = 0.0;
levelOffsetR = 0.0;
return;
default:
Debug.LogError($"Unexpected Source: {source}");
goto case Source.Default;
}
if (points.Count == 1)
{
levelOffsetL = points[0].levelOffsetL;
levelOffsetR = points[0].levelOffsetR;
return;
}
//If the requested level is before the first or after the last, use its assocaited offset
if (level <= points[0].levelIn)
{
levelOffsetL = points[0].levelOffsetL;
levelOffsetR = points[0].levelOffsetR;
return;
}
//Else, we will LERP between the surrounding offsets
for (int index = 0; index < points.Count - 1; index++)
{
if (level >= points[index].levelIn && level < points[index + 1].levelIn)
{
levelOffsetL = GeneralMath.Lerp(points[index].levelOffsetL,
points[index + 1].levelOffsetL,
(level - points[index].levelIn) / (points[index + 1].levelIn - points[index].levelIn));
levelOffsetR = GeneralMath.Lerp(points[index].levelOffsetR,
points[index + 1].levelOffsetR,
(level - points[index].levelIn) / (points[index + 1].levelIn - points[index].levelIn));
return;
}
}
//Else, we return the last value
levelOffsetL = points[points.Count - 1].levelOffsetL;
levelOffsetR = points[points.Count - 1].levelOffsetR;
}
public ChorusEffector(
IBGCStream stream,
double minDelay = 0.040,
double maxDelay = 0.060,
double rate = 0.25,
DelayType delayType = DelayType.Sine,
TransformRMSBehavior rmsBehavior = TransformRMSBehavior.Passthrough)
: base(stream)
{
int adjustmentSamples = (int)Math.Round(SamplingRate / rate);
adjustments = new int[Channels * adjustmentSamples];
double centerDelay = 0.5 * (maxDelay + minDelay);
double delayAmplitude = 0.5 * (maxDelay - minDelay);
switch (delayType)
{
case DelayType.Sine:
for (int samp = 0; samp < adjustmentSamples; samp++)
{
for (int chan = 0; chan < Channels; chan++)
{
adjustments[samp * Channels + chan] = (int)Math.Round(stream.SamplingRate * (centerDelay + delayAmplitude * Math.Sin(2.0 * Math.PI * samp / adjustmentSamples)));
}
}
break;
case DelayType.Triangle:
{
int peakSample = adjustmentSamples / 4;
int valleySample = 3 * peakSample;
for (int samp = 0; samp < adjustmentSamples; samp++)
{
double triangleValue;
if (samp < peakSample)
{
//Initial Rise
triangleValue = GeneralMath.Lerp(0, 1.0, samp / (double)peakSample);
}
else if (samp < valleySample)
{
triangleValue = GeneralMath.Lerp(1.0, -1.0, (samp - peakSample) / (double)(valleySample - peakSample));
}
else
{
triangleValue = GeneralMath.Lerp(-1.0, 0.0, (samp - valleySample) / (double)(adjustmentSamples - valleySample));
}
for (int chan = 0; chan < Channels; chan++)
{
adjustments[samp * Channels + chan] = (int)Math.Round(stream.SamplingRate * (centerDelay + delayAmplitude * triangleValue));
}
}
}
break;
default:
throw new StreamCompositionException($"Unexpected DelayType: {delayType}");
}
adjIndexA = 0;
adjIndexB = adjustments.Length / 2;
int maxAdjustment = adjustments.Max();
bufferSize = Math.Max(MIN_BUFFER_SIZE, Channels * maxAdjustment.CeilingToPowerOfTwo());
newBuffer = new float[bufferSize];
oldBuffer = new float[bufferSize];
this.rmsBehavior = rmsBehavior;
channelSampleAdjustment = (int)Math.Ceiling(maxDelay * stream.SamplingRate);
if (stream.ChannelSamples == int.MaxValue)
{
ChannelSamples = int.MaxValue;
TotalSamples = int.MaxValue;
}
else
{
ChannelSamples = stream.ChannelSamples + channelSampleAdjustment;
TotalSamples = Channels * ChannelSamples;
}
}
