Namespace com.ibm.streams.timeseries.analysis

SPL standard and specialized toolkits > com.ibm.streams.timeseries 3.1.0 > com.ibm.streams.timeseries.analysis

Operators

• AnomalyDetector: The AnomalyDetector operator can detect anomalous subsequences in an incoming data stream.
• CrossCorrelate: DEPRECATED: The com.ibm.streams.timeseries.analysis.CrossCorrelate operator is deprecated and is replaced by the com.ibm.streams.timeseries.analysis.CrossCorrelate2 operator. The deprecated operator might be removed in a future release. In signal processing, cross-correlation is a measure of similarity of two time series as a function of a time-lag applied to one of them.
• CrossCorrelate2: In signal processing, cross-correlation is a measure of similarity of two time series as a function of a time-lag applied to one of them.
• CrossCorrelateMulti: In signal processing, cross-correlation is a measure of similarity of two time series as a function of a time-lag applied to one of them.
• DSPFilter: DEPRECATED: The com.ibm.streams.timeseries.analysis.DSPFilter operator is deprecated and is replaced by the com.ibm.streams.timeseries.analysis.DSPFilter2 operator. The deprecated operator might be removed in a future release. The Digital Signal Processing (DSP) filter operator performs a digital filtering operation on an input time series.
• DSPFilter2: The Digital Signal Processing (DSP) filter operator performs a digital filtering operation on an input time series.
• DSPFilterFinite: The Digital Signal Processing (DSP) filter operator performs a digital filtering operation on an input time series.
• DWT: DEPRECATED: The com.ibm.streams.timeseries.analysis.DWT operator is deprecated and is replaced by the com.ibm.streams.timeseries.analysis.DWT2 operator. The deprecated operator might be removed in a future release.
• DWT2: The DWT2 operator applies a discrete wavelet transform (DWT) on a vector time series.
• Distribution: The Distribution operator calculates the quartile distribution for an input time series.
• FFT: The FFT operator applies a Fast Fourier transform (FFT) algorithm on a vector time series.
• FunctionEvaluator: The FunctionEvaluator operator applies a function to each value in a time series.
• Normalize: The Normalize operator incrementally estimates the means and variance and can normalize the time series to zero means and unit variance.
• PSAX: The Piecewise and Aggregate operator, PSAX provides a symbolic representation of a real-valued time series data by transforming an input time series into an intermediate Piecewise Aggregate Approximation (PAA) representation and symbolizing the PAA representation into a discrete string.
• STD: The seasonal trend decomposition (STD) operator transforms an input time series into three time series that represent the season, the trend, and the residuals.

Functions

• convolve(list<float64>, list<float64>): The convolve function generates the convolution of two time series input signals.
• crosscorrelate(list<float64>, list<float64>): The crosscorrelate function generates the crosscorrelation of two time series input signals.
• laggedConvolve(list<float64>, list<float64>, enum{STANDARD, FFT})
• laggedCrosscorrelate(list<float64>, list<float64>, int32, enum{STANDARD, FFT})
• rms(list<T>): The rms function generates the root mean square value from a list of numerical values.

Types

• ConvolveAlgorithmTypes.ConvolveAlgorithmType
• CrossCorrelateTypes.CrossCorrelateAlgorithmType
• CrossCorrelateTypes.CrossCorrelateMultiOutputType
• DSPFilterTypes.DSPFilterType