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Remove redundant smoothing algorithms

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This commit is contained in:
X9VoiD 2020-12-05 01:45:42 +08:00
parent ab15a3f401
commit 2905889b8c
2 changed files with 29 additions and 74 deletions
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4
Reconstructor/ReconstructionAlg.cs
View file

@ -3,8 +3,6 @@ namespace VoiDPlugins
enum ReconstructionAlg
{
ReverseMA,
ReverseCMA,
ReverseEMA,
ReverseMCMA
ReverseEMA
}
}

99
Reconstructor/Reconstructor.cs
View file

@ -19,25 +19,13 @@ namespace VoiDPlugins
{
case ReconstructionAlg.ReverseMA:
{
var truePoint = truePoints.IsFilled ? ReverseMAFunc(truePoints, point, (int)Math.Round(Window)) : point;
var truePoint = truePoints.IsFilled ? ReverseMAFunc(truePoints, point, MAWindow) : point;
truePoints.Insert(truePoint);
return truePoint;
}
case ReconstructionAlg.ReverseCMA:
{
var truePoint = lastAvg.HasValue ? ReverseCMAFunc(point, lastAvg.Value, (int)Math.Round(Window)) : point;
lastAvg = point;
return truePoint;
}
case ReconstructionAlg.ReverseEMA:
{
var truePoint = lastAvg.HasValue ? ReverseEMAFunc(point, lastAvg.Value, Window) : point;
lastAvg = point;
return truePoint;
}
case ReconstructionAlg.ReverseMCMA:
{
var truePoint = lastAvg.HasValue ? ReverseMCMAFunc(point, lastAvg.Value, Window) : point;
var truePoint = lastAvg.HasValue ? ReverseEMAFunc(point, lastAvg.Value, (float)EMAWeight) : point;
lastAvg = point;
return truePoint;
}
@ -55,17 +43,7 @@ namespace VoiDPlugins
return (input * window) - sum;
}
private static Vector2 ReverseCMAFunc(Vector2 currentCMA, Vector2 lastCMA, int window)
{
return (window * (currentCMA - lastCMA)) + lastCMA;
}
private static Vector2 ReverseEMAFunc(Vector2 currentEMA, Vector2 lastEMA, float weight)
{
return (currentEMA - (lastEMA * (1 - weight))) / weight;
}
private static Vector2 ReverseMCMAFunc(Vector2 currentMCMA, Vector2 lastMCMA, float weight)
private static Vector2 ReverseEMAFunc(Vector2 currentMCMA, Vector2 lastMCMA, float weight)
{
return ((currentMCMA - lastMCMA) / weight) + lastMCMA;
}
@ -73,7 +51,7 @@ namespace VoiDPlugins
[BooleanProperty("Reverse MA", "Set to True if the tablet is using MA algorithm for smoothing/noise reduction")]
[ToolTip(
"100% reconstruction accuracy when the tablet smoothing algorithm is MA and the window is exactly known\n\n" +
"Despite its perfect reconstruction accuracy, Reverse MA completely fails when tablet is not using MA + specified window"
"Warning: Reverse MA completely fails when tablet is not using MA + specified window"
)]
public bool ReverseMA
{
@ -84,28 +62,12 @@ namespace VoiDPlugins
}
}
[BooleanProperty("Reverse CMA", "Set to True if the tablet is using CMA algorithm for smoothing/noise reduction")]
[ToolTip
(
"99.999~% reconstruction accuracy when the tablet smoothing algorithm is CMA and the window is exactly known\n\n" +
"Good reconstruction stability when true tablet smoothing algorithm is unknown\n\n" +
"Not entirely 100% accurate due to decimal errors in the order of 1x10^-15, which is extremely small"
)]
public bool ReverseCMA
{
set
{
if (value)
mode = ReconstructionAlg.ReverseCMA;
}
}
[BooleanProperty("Reverse EMA", "Set to True if the tablet is using EMA algorithm for smoothing/noise reduction")]
[ToolTip
(
"99.999~% reconstruction accuracy when the tablet smoothing algorithm is EMA and the weight is exactly known\n\n" +
"Great reconstruction stability when true tablet smoothing algorithm is unknown, but harder to determine exact weight\n\n" +
"Not entirely 100% accurate due to decimal errors in the order of 1x10^-15, which is extremely small"
"100% reconstruction accuracy when the tablet smoothing algorithm is EMA and the weight is exactly known\n\n" +
"Great reconstruction stability when true tablet smoothing algorithm is unknown, but determining exact weight is hard\n\n" +
"As a sidenote, hawku uses EMA for his smoothing filter"
)]
public bool ReverseEMA
{
@ -116,44 +78,39 @@ namespace VoiDPlugins
}
}
[BooleanProperty("Reverse MCMA", "Set to True if the tablet is using MCMA algorithm for smoothing/noise reduction")]
[ToolTip
(
"99.999~% reconstruction accuracy when the tablet smoothing algorithm is CMA and the weight is exactly known\n\n" +
"Best reconstruction stability when true tablet smoothing algorithm is unknown, but harder to determine exact weight\n\n" +
"Not entirely 100% accurate due to decimal errors in the order of 1x10^-15, which is extremely small\n\n" +
"This is the same as CMA, but instead of \"window\" it uses weights (CMA 3 is equivalent to MCMA 1/3)\n" +
"As a sidenote, MCMA can reverse hawku's smoothing algorithm"
)]
public bool ReverseMCMA
{
set
{
if (value)
mode = ReconstructionAlg.ReverseMCMA;
}
}
private float window;
[Property("Window"), ToolTip
[Property("MA Window"), ToolTip
(
"Default: 3\n\n" +
"MA/CMA:\n" +
" Defines in integers how many samples is considered. [Range: 2 - n]\n\n" +
"EMA/MCMA:\n" +
" Defines the weight of the latest sample against previous ones [Range: 0.0 - 1.0]"
"Defines in integers how many samples is considered. [Range: 2 - n]"
)]
public float Window
public int MAWindow
{
set
{
window = value;
if (window > 1)
truePoints = new RingBuffer<Vector2>((int)(Math.Round(value) - 1));
truePoints = new RingBuffer<Vector2>(value - 1);
}
get => window;
}
[Property("EMA Weight"), ToolTip
(
"Default: 0.35\n\n" +
"Defines the weight of the latest sample against previous ones [Range: 0.0 - 1.0]"
)]
public double EMAWeight
{
set
{
weight = Math.Clamp(value, 0, 1);
}
get => weight;
}
private int window;
private double weight;
public FilterStage FilterStage => FilterStage.PreTranspose;
}
}