Time Series Analysis VIs

LabVIEW 2014 Advanced Signal Processing Toolkit Help

Edition Date: June 2014

Part Number: 372656C-01

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June 2013, 371534E-01

Requires: Advanced Signal Processing Toolkit. This topic might not match its corresponding palette in LabVIEW depending on your operating system, licensed product(s), and target.

Use the Time Series Analysis VIs to perform preprocessing, statistical analysis, correlation analysis, spectrum estimation, and modeling. You can extract useful information from a time series with different analysis methods for different applications.

The VIs on this palette can return general LabVIEW error codes or specific Time Series Analysis error codes.

Correlation and Spectral Analysis VIsUse the Correlation and Spectral Analysis VIs to perform time-domain and frequency-domain analyses on a univariate or multivariate (vector) time series. You can compute the auto-correlation and cross-correlation values, single-sided power spectral density (PSD), bispectrum, real cepstrum, and complex cepstrum with different methods.
Modeling and Prediction VIsUse the Modeling and Prediction VIs to build autoregressive (AR) models, autoregressive-moving average (ARMA) models, modal parametric models, and stochastic state-space models for the input time series or perform prediction based on the estimated models.
Preprocessing VIsUse the Preprocessing VIs to perform the following operations on a univariate or multivariate (vector) time series: moving average, resampling, detrending, and exponential average.
Statistical Analysis VIsUse the Statistical Analysis VIs to compute the following statistical parameters of a univariate or multivariate (vector) time series: mean, deviation and variance, skewness and kurtosis, entropy, covariance, confidence limit, normal distribution, whiteness, and stationarity. You also can use the Statistical Analysis VIs to perform independent component analysis and principal component analysis on multivariate time series.
Utilities VIsUse the Utilities VIs to generate time series for demonstration purposes, to perform engineering unit scaling, and to read data files.

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