Uses of Class
adams.data.filter.AbstractFilter

Packages that use AbstractFilter

Package	Description
adams.data.filter

Uses of AbstractFilter in adams.data.filter

Subclasses of AbstractFilter in adams.data.filter

Modifier and Type	Class	Description
class	AbstractAutocorrelation<T extends DataContainer>	Abstract ancestor for autocorrelation filters.
class	AbstractBatchFilter<T extends DataContainer>	Ancestor for batch filters.
class	AbstractDatabaseConnectionFilter<T extends DataContainer>	Ancestor for filters that require database access.
class	AbstractDerivative<T extends DataContainer>	Abstract ancestor for Derivative filters.
class	AbstractEquiDistance<T extends DataContainer>	Abstract ancestor for filters that equi-distance the data.
class	AbstractEquiDistanceWithOffset<T extends DataContainer>	Abstract ancestor for filters that equi-distance the data.
class	AbstractFastWavelet<T extends DataContainer>	Abstract ancestor for Wavelet filters based on the JSci library.
class	AbstractFFT<T extends DataContainer>	Abstract ancestor for Fast Fourier Transform filters based on the JSci library.
class	AbstractHistogram<T extends DataContainer>	Ancestor for filters that generate a histogram from the incoming data.
class	AbstractLOWESS<T extends DataContainer>	Abstract ancestor for LOWESS filters.
class	AbstractPreFilter<T extends DataContainer>	Abstract ancestor for filters that use pre-filtered data as the basis for manipulating the original data.
class	AbstractSavitzkyGolay<T extends DataContainer>	Abstract ancestor for Savitzky-Golay filters.
class	AbstractSAX<T extends DataContainer>	Ancestor for SAX filters.
class	AbstractScript	Ancestor for filter scripts.
class	AbstractScriptedFilter	Abstract ancestor for filters that execute external scripts.
class	AbstractSimpleSavitzkyGolay<T extends DataContainer>	Abstract ancestor for simple Savitzky-Golay filters.
class	BaselineCorrection<T extends DataContainer>	A filter that runs a baseline correction scheme over the data.
class	DownSample<T extends DataContainer>	A filter that returns only every n-th data point.
class	DownSize<T extends DataContainer>	A filter that picks a specified number of evenly spaced data points from the data.
class	Groovy	A filter that uses a Groovy script for processing the data.
class	MultiFilter<T extends DataContainer>	A meta-filter that runs multiple filters over the data.
class	OutlierDetector<T extends DataContainer>	A filter that runs an outlier detector over the data and attaches the generated detections as notes to the chromatogram.
class	PassThrough<T extends DataContainer>	A dummy filter that just passes the data through.
class	RemoveNoise<T extends DataContainer & Mergeable>	A filter that removes noise from the data with a user-supplied noise level algorithm.
class	ReportFilter<T extends DataContainer>	A filter that modifies the reports of data containers being passed through.
class	Scripted	A filter that uses any scripting handler for processing the data with a script located in the specified file.
class	Smoothing<T extends DataContainer>	A filter that runs a smoothing scheme over the data.
class	TimeseriesAutocorrelation	Performs autocorrelation on the timeseries.
class	TimeseriesChangeResolution	Generates a new timeseries with a (user-defined) fixed-length interval between data points.
class	TimeseriesDerivative	A filter for generating derivatives of timeseries data.
class	TimeseriesEquiDistance	A filter for interpolating the values of a time series.
class	TimeseriesFastWavelet	A filter that transforms the data with a wavelet. For more information see: (2009).
class	TimeseriesFFT	A filter that transforms the data with Fast Fourier Transform. For more information see: Mark Hale (2009).
class	TimeseriesHistogram	Generates a histogram from the timeseries.
class	TimeseriesLOWESS	A filter that applies LOWESS smoothing. For more information see: WikiPedia.
class	TimeseriesResetTimestamps	Resets the timestamps, makes them start at the specified date/time.
class	TimeseriesRound	Rounds the values of the timeseries points.
class	TimeseriesRowNorm	Row wise normalization.
class	TimeseriesSavitzkyGolay	A filter that applies Savitzky-Golay smoothing. For more information see: A.
class	TimeseriesSAX	Performs Symbolic Aggregate approXimation (SAX). The data must be normalized using adams.data.filter.RowNorm beforehand. For more information see: Chiu, B., Keogh, E., Lonardi, S.
class	TimeseriesSetStart	Sets the starting point of the timeseries to a new fixed timestamp and all other data points accordingly.
class	TimeseriesShiftTimestamps	Shifts the timestamps of the timeseries by a calculated amount. The amount is either the difference between the 'new' timestamp and a timestamp from the report or a supplied timestamp. Accepted date formats (unless custom format specified): yyyy-MM-dd HH:mm:ss yyyy-MM-dd HH:mm:ss.S yyyy-MM-dd
class	TimeseriesShiftValues	Shifts the values of the timeseries by the specified amount (up or down, depending on the sign).
class	TimeseriesValueSubset	Generates a new timeseries with the first block of values that fits between the specified min/max (both included).
class	TimeseriesWindow	Leaves only the specified window in the timeseries (borders included). The matching can be inverted, i.e., everything but the window is returned.