SecondDerivative (FSharp.Stats)

SecondDerivative Module

Namespace: FSharp.Stats.Signal
Assembly: FSharp.Stats.dll
Parent Module: PeakDetection

Functions and values

Function or value	Description
`characterizePeak xData yData smoothedYData labeledSndDevData peakIdx` Full Usage: `characterizePeak xData yData smoothedYData labeledSndDevData peakIdx` Parameters: xData : `float[]` yData : `float[]` smoothedYData : `float[]` labeledSndDevData : `Tag<Extrema, (float * float)>[]` peakIdx : `int` Returns: `IdentifiedPeak`	xData : `float[]` yData : `float[]` smoothedYData : `float[]` labeledSndDevData : `Tag<Extrema, (float * float)>[]` peakIdx : `int` Returns: `IdentifiedPeak`
`closestLeftLiftOffIdx labeledSndDevData peakIdx` Full Usage: `closestLeftLiftOffIdx labeledSndDevData peakIdx` Parameters: labeledSndDevData : `Tag<Extrema, (float * float)>[]` peakIdx : `int` Returns: `int option`	labeledSndDevData : `Tag<Extrema, (float * float)>[]` peakIdx : `int` Returns: `int option`
`closestLiftOffIdx stepSize labeledSndDevData peakIdx` Full Usage: `closestLiftOffIdx stepSize labeledSndDevData peakIdx` Parameters: stepSize : `int` labeledSndDevData : `Tag<Extrema, (float * float)>[]` peakIdx : `int` Returns: `int option`	stepSize : `int` labeledSndDevData : `Tag<Extrema, (float * float)>[]` peakIdx : `int` Returns: `int option`
`closestRightLiftOffIdx labeledSndDevData peakIdx` Full Usage: `closestRightLiftOffIdx labeledSndDevData peakIdx` Parameters: labeledSndDevData : `Tag<Extrema, (float * float)>[]` peakIdx : `int` Returns: `int option`	labeledSndDevData : `Tag<Extrema, (float * float)>[]` peakIdx : `int` Returns: `int option`
`filterpeaks noiseLevel yData labeledDataTmp` Full Usage: `filterpeaks noiseLevel yData labeledDataTmp` Parameters: noiseLevel : `float` yData : `float[]` labeledDataTmp : `Tag<Extrema, 'a>[]` Returns: `(int * Tag<Extrema, 'a>)[]`	noiseLevel : `float` yData : `float[]` labeledDataTmp : `Tag<Extrema, 'a>[]` Returns: `(int * Tag<Extrema, 'a>)[]`
`findLeftBorderOf xData yData smoothedYData labeledSndDevData closestPeakIdx closestLiftOffIdx` Full Usage: `findLeftBorderOf xData yData smoothedYData labeledSndDevData closestPeakIdx closestLiftOffIdx` Parameters: xData : `float[]` - yData : `float[]` - smoothedYData : `float[]` - labeledSndDevData : `Tag<Extrema, (float * float)>[]` - closestPeakIdx : `int` - closestLiftOffIdx : `int option` - Returns: `bool * int`	Given a noisy data set, the labled negative second derivative, the index of a putative peak and the index of the peak lift of position, the function iterates in the positive direction returns a tuple. The first value of the tuple indicates if the peak is isolated (true indicates yes) and the second value is the index index of the determined peak end. xData : `float[]` yData : `float[]` smoothedYData : `float[]` labeledSndDevData : `Tag<Extrema, (float * float)>[]` closestPeakIdx : `int` closestLiftOffIdx : `int option` Returns: `bool * int` Example
`findRightBorderOf xData yData smoothedYData labeledSndDevData closestPeakIdx closestLiftOffIdx` Full Usage: `findRightBorderOf xData yData smoothedYData labeledSndDevData closestPeakIdx closestLiftOffIdx` Parameters: xData : `float[]` - yData : `float[]` - smoothedYData : `float[]` - labeledSndDevData : `Tag<Extrema, (float * float)>[]` - closestPeakIdx : `int` - closestLiftOffIdx : `int option` - Returns: `bool * int`	Given a noisy data set, the labled negative second derivative, the index of a putative peak and the index of the peak lift of position, the function iterates in the positive direction returns a tuple. The first value of the tuple indicates if the peak is isolated (true indicates yes) and the second value is the index index of the determined peak end. xData : `float[]` yData : `float[]` smoothedYData : `float[]` labeledSndDevData : `Tag<Extrema, (float * float)>[]` closestPeakIdx : `int` closestLiftOffIdx : `int option` Returns: `bool * int` Example
`getPeaks snr polOrder ws xData yData` Full Usage: `getPeaks snr polOrder ws xData yData` Parameters: snr : `float` polOrder : `int` ws : `int` xData : `float[]` yData : `float[]` Returns: `IdentifiedPeak[]`	snr : `float` polOrder : `int` ws : `int` xData : `float[]` yData : `float[]` Returns: `IdentifiedPeak[]`
`tryFindPeakEnd step xData yData smoothedYData labeledSndDevData closestPeakIdx closestLiftOffIdx` Full Usage: `tryFindPeakEnd step xData yData smoothedYData labeledSndDevData closestPeakIdx closestLiftOffIdx` Parameters: step : `int` - xData : `float[]` - yData : `float[]` - smoothedYData : `float[]` - labeledSndDevData : `Tag<Extrema, (float * float)>[]` - closestPeakIdx : `int` - closestLiftOffIdx : `int option` - Returns: `bool * int`	Given a noisy data set, the labled negative second derivative, the index of a putative peak and the index of the peak lift of position, the function iterates in the direction given by the step parameter and returns a tuple. The first value of the tuple indicates if the peak is isolated (true indicates yes) and the second value is the index index of the determined peak end. step : `int` xData : `float[]` yData : `float[]` smoothedYData : `float[]` labeledSndDevData : `Tag<Extrema, (float * float)>[]` closestPeakIdx : `int` closestLiftOffIdx : `int option` Returns: `bool * int` Example