seewave (version 1.7.6)

logspec.dist: Log-spectral distance

Description

Compare two distributions (e.g. two frequency spectra) by computing the log-spectral distance

Usage

logspec.dist(spec1, spec2)

Arguments

spec1

any distribution, especially a spectrum obtained with spec or meanspec (not in dB). This can be either a two-column matrix (col1 = frequency, col2 = amplitude)

spec2

any distribution, especially a spectrum obtained with spec or meanspec (not in dB). This can be either a two-column matrix (col1 = frequency, col2 = am

Value

• A numeric vector of length 1 returning the D distance.

Details

The distance is computed according to: $$D_{LS}(spec1 \Vert spec2) = D_{LS}(spec2 \Vert spec1) = \sqrt{\sum{10 \times log_{10}(\frac{spec1}{spec2})^{2}}}$$

See Also

ks.dist, kl.dist, itakura.dist, simspec, diffspec

Examples

# Comparison of two spectra
data(tico)
tico1 <- spec(tico, at=0.65, plot=FALSE)
tico2 <- spec(tico, at=1.1, plot=FALSE)
logspec.dist(tico1, tico2)