fosanalysis
A framework to evaluate distributed fiber optic sensor data
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masking.py File Reference

Go to the source code of this file.

Classes

class  fosanalysis.preprocessing.masking.AnomalyMasker
 Abstract class for anomaly identification. More...
 
class  fosanalysis.preprocessing.masking.GTM
 The geometric threshold method (GTM) identifies SRAs by comparing the strain increments to a threshold. More...
 
class  fosanalysis.preprocessing.masking.ModifiedZscoreDetection
 Class for the modified z-score approach for spike detection. More...
 
class  fosanalysis.preprocessing.masking.OSCP
 Class for outlier detection an cancellation based on the outlier specific correction procedure (OSCP) as originally presented in [7] and [8]. More...
 
class  fosanalysis.preprocessing.masking.SlidingModifiedZscore
 Class that calculates the modified zscore over a moving window. More...
 
class  fosanalysis.preprocessing.masking.WhitakerAndHayes
 The Whitaker & Hayes algorithm uses the high intensity and small width of spikes. More...
 
class  fosanalysis.preprocessing.masking.ZscoreOutlierDetection
 Class for the standard z-score approach for spike detection. More...
 
class  fosanalysis.preprocessing.masking.ZSOD
 Abstract base class for outlier detection by different kinds of z-scores. More...
 

Namespaces

namespace  fosanalysis
 Central package of fosanalysis.
 
namespace  fosanalysis.preprocessing
 Contains modules for data preprocessing, like:
 
namespace  fosanalysis.preprocessing.masking
 Contains class implementations to remove implausible values from strain data.