Time series analysis methods like correlation and spectral analysis allows for the detection of hidden periodicities or frequency characteristics in a time series at specific frequencies.

By using the Time Series Analysis VIs, you can detect a periodicity of a time series in either the time domain or the frequency domain.

In the time domain, correlation analysis is a classical method that you can use to find periodic patterns at a specific frequency in one or more time series. You also can use the correlation method to identify or extract other useful features of a time series, such as phase.

In the frequency domain, you can use spectral analysis methods to estimate the power spectrum of a time series. You also can estimate the bispectrum, which is useful for detecting nonlinearities in a time series, and estimate the cepstrum, which is useful for deconvolving a time series.