sig.skewness
Statistical description of distributions, such as spectral distribution (sig.spectrum). Skewness is the third statistical moment. The skewness can have a positive value in which case the distribution is said to be positively skewed with a few values much larger than the mean and therefore a long tail to the right. A negatively skewed distribution has a longer tail to the left. A symmetrical distribution has a skewness of zero. (Koch)
sig.skewness actually returns the coefficient of skewness. It has more convenient units than does the skewness and often ranges from -3.0 to 3.0 for data from natural systems. Again, a symmetrical distribution has a coefficient of skewness of zero. A positive coefficient of skewness often indicates that the distribution exhibits a concentration of mass toward the left and a long tail to the right whereas a negative value generally indicates the opposite. (Koch)
sig.skewness accepts either:
- sig.Spectrum objects
- If the input is a waveform, a file name, or the ‘Folder’ keyword, the centroid is computed on the spectrum (spectral centroid).
- any other distribution
‘Frame’ performs first a frame decomposition, with by default a frame length of 50 ms and half overlapping. For the specification of other frame configuration using additional parameters, cf. this page.
