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seewave (version 1.7.6)

diffspec: Difference between two frequency spectra

Description

This function estimates the surface difference between two frequency spectra.

Usage

diffspec(spec1, spec2, f = NULL, dB = FALSE, plot = FALSE, type="l", 
lty1 = 1, lty2 = 2, col1 = 2, col2 = 4, cold = 8,
flab = "Frequency (kHz)", alab = "Amplitude",
flim = NULL, alim = NULL, legend = TRUE, ...)

Arguments

spec1
a first data set resulting of a spectral analysis obtained with spec or meanspec (not in dB). This can be either a two-column matrix (col1 = frequency,
spec2
a first data set resulting of a spectral analysis obtained with spec or meanspec (not in dB). This can be either a two-column matrix (col1 = frequency,
f
sampling frequency of waves used to obtain spec1 and spec2 (in Hz). Not necessary if spec1 and/or spec2 is a two-column matrix obtained with spec or
dB
logical, if TRUE return the spectra and their surface difference in dB (by default FALSE).
plot
logical, if TRUE plots both spectra and their surface difference (by default FALSE).
type
if plot is TRUE, type of plot that should be drawn. See plot for details (by default "l" for lines).
lty1
line type of spec1 if type="l".
lty2
line type of spec2 if type="l".
col1
colour of spec1.
col2
colour of spec2.
cold
colour of the surface difference.
flab
title of the frequency axis.
alab
title of the amplitude axis.
flim
the range of frequency values.
alim
range of amplitude axis.
legend
logical, if TRUE adds a legend to the plot.
...
other plot graphical parameters.

Value

  • The difference is returned. This value is without unit. If dB is TRUE, the same value is returned in dB. When plot is TRUE, both spectra and their difference surface are plotted on the same graph.

Details

Both spectra are first transformed as probability mass functions (PMF). Spectral difference is then computed according to: $$D = \frac{\sum{|spec1-spec2|}}{2}, with D \in [0,1].$$, with 0 < D < 1.

References

Sueur, J., Pavoine, S., Hamerlynck, O. and Duvail, S. (2008). Rapid acoustic survey for biodiversity appraisal. PLoS One, 3(12): e4065.

See Also

spec, meanspec, corspec, simspec, diffcumspec, diffenv, kl.dist, ks.dist, logspec.dist, itakura.dist

Examples

Run this code
a<-noisew(f=8000,d=1)
b<-synth(f=8000,d=1,cf=2000)
c<-synth(f=8000,d=1,cf=1000)
d<-noisew(f=8000,d=1)
speca<-spec(a,f=8000,wl=512,at=0.5,plot=FALSE)
specb<-spec(b,f=8000,wl=512,at=0.5,plot=FALSE)
specc<-spec(c,f=8000,wl=512,at=0.5,plot=FALSE)
specd<-spec(d,f=8000,wl=512,at=0.5,plot=FALSE)
diffspec(speca,speca,f=8000)
#[1] 0 => similar spectra of course !
diffspec(speca,specb)
diffspec(speca,specc,plot=TRUE)
diffspec(specb,specc,plot=TRUE)
diffspec(speca,specd,plot=TRUE)

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