Given the spectrum of a time series vector this function will return its Empirical Wavelet Transformed spectrum.
get_ewt_spectrum( spectrum, npeaks = 3, fraction_min_peak_height = 0.1, min_peak_distance = 1, sampling_rate = 100 )
| spectrum | FFT spectrum as a two dimensional data frame with columns names as freq and pdf respectively n.freq x 2. |
|---|---|
| npeaks | Number of peaks to be captured. |
| fraction_min_peak_height | Minimum height (relative to maximum peak height) a peak has to have. Specified as fraction between 0 and 1. |
| min_peak_distance | The minimum distance (in indices) peaks. have to have to be counted. |
| sampling_rate | Sampling rate of the signal (by default it is 100 Hz). |
Emprical wavelet transformed spectrum of dimension n.freq x (npeaks + 1).