seewave (version 1.4.3)

H: Total entropy

Description

This functions estimates the difference between two time waves by computing their .

Usage

H(wave, f, wl = 512, smooth = NULL)

Arguments

wave

data describing a time wave or a Sample object generated loading a wav file with loadSample (package Sound).

f

sampling frequency of wave (in Hz). Does not need to be specified if wave is a Sample object.

wl

window length for spectral entropy analysis (even number of points). See sh.

smooth

envelope smoothing by floating average. See th.

Value

• A single value varying between 0 and 1 is returned. The value has no unit.

Details

This function computes the product between the values obtained with sh and th functions. This then gives a global (time and frequency) estimation of signal entropy. The frequency mean spectrum and the amplitude envelope needed for computing respectively sh and th are automatically generated. They can be controlled through wl and smooth arguments respectively. See examples below and examples in sh and th for implications on the results.

References

Sueur, J., Pavoine, S., Hamerlynck, O. & Duvail, S., in preparation.

See Also

sh, th, csh

Examples

data(orni)
H(orni,f=22050)
# [1] 0.766589
# changing the spectral parameter (wl)
H(orni,f=22050,wl=1024)
# [1] 0.7785917
# changing the temporal parameter (smooth)
H(orni,f=22050,smooth=20)
# [1] 0.7491108