Learn R Programming

seewave (version 1.0)

spectro: 2D-spectrogram of a time wave

Description

This functions returns a two-dimension spectrographic representation of a time wave. The function corresponds to short-term Fourier transform. An amplitude contour plot can be overlaid.

Usage

spectro(wave, f, wl, zp = 0, ovlp = 0, plot = TRUE,
grid = TRUE, osc = FALSE, scale = TRUE, cont = FALSE,
collevels = seq(-30, 0, 1), palette = spectro.colors,
contlevels = seq(-30, 0, 10), colcont = "black", colgrid = "black",
plot.title = title(main = "", xlab = "Time (s)",
ylab = "Frequency (kHz)"), scalelab = "Amplitude
(dB)",
scalefontlab = 1, axisX = TRUE, axisY = TRUE,
...)

Arguments

wave
data describing a time wave.
f
sampling frequency of wave.
wl
length of the window for the analysis (even number of points).
zp
zero-padding (even number of points), see Details.
ovlp
overlap between two successive windows (in %).
plot
logical, if TRUE plots the spectrogram (by default TRUE).
grid
logical, if TRUE plots a y-axis grid (by default TRUE).
osc
logical, if TRUE plots an oscillogram beneath the spectrogram (by default FALSE).
scale
logical, if TRUE plots a dB colour scale on the right side of the spectrogram (by default TRUE).
cont
logical, if TRUE overplots contour lines on the spectrogram (by default FALSE).
collevels
a set of levels which are used to partition the amplitude range of the spectrogram (in dB).
palette
a color palette function to be used to assign colors in the plot, see Details.
contlevels
a set of levels which are used to partition the amplitude range for contour overplot (in dB).
colcont
colour for cont plotting.
colgrid
colour for grid plotting.
plot.title
statements which add titles to the plot.
scalelab
amplitude scale label.
scalefontlab
font of the amplitude scale label.
axisX
logical, if TRUE plots X-axis (by default TRUE).
axisY
logical, if TRUE plots Y-axis (by default TRUE).
...
other contour and oscillo graphical parameters.

Value

  • If plot is FALSE, this function returns a matrix. Each column corresponds to a Fourier transform of length wl.

Details

A Hanning function is applied to the analysis window. zp adds 0 values on both sides of the analysis window. This increases frequency resolution without altering time resolution. Any colour palette can be used. In particular, it is possible to use other palettes coming with seewave: rev.heat.colors, rev.terrain.colors, rev.topo.colors, rev.cm.colors corresponding to the reverse of heat.colors, terrain.colors, topo.colors, cm.colors. Use locator to identify points.

References

Hopp, S. L., Owren, M. J. and Evans, C. S. (Eds) 1998. Animal acoustic communication. Springer, Berlin, Heidelberg.

See Also

spectro3D, oscillo, dBscale, fft.

Examples

Run this code
data(tico)
data(peewit)
data(pellucens)
data(alauda)
# simple plots
spectro(tico,f=22050,wl=512)
spectro(tico,f=22050,wl=512,osc=TRUE)
spectro(tico,f=22050,wl=512,scale=FALSE)
spectro(tico,f=22050,wl=512,osc=TRUE, scale=FALSE)
# manipulating wl
op<-par(mfrow=c(2,2))
spectro(tico,f=22050,wl=256,scale=FALSE)
title("wl = 256")
spectro(tico,f=22050,wl=512,scale=FALSE)
title("wl = 512")
spectro(tico,f=22050,wl=1024,scale=FALSE)
title("wl = 1024")
spectro(tico,f=22050,wl=4096,scale=FALSE)
title("wl = 4096")
par(op)
# manipulating ovlp
op<-par(mfrow=c(2,1))
spectro(alauda,f=22050,wl=512,scale=FALSE)
title("ovlp = 0")
spectro(alauda,f=22050,wl=512,ovlp=95,scale=FALSE)
title("ovlp = 95")
par(op)
# a full plot
pellu2<-cutw(pellucens,f=22050,from=1,to=nrow(pellucens)/22050,plot=FALSE)
spectro(pellu2,f=22050,wl=512,ovlp=85,zp=16,osc=TRUE,
    cont=TRUE,contlevels=seq(-30,0,20),colcont="red",
    lwd=1.5,lty=2,palette=rev.terrain.colors)
# black and white spectrogram 
spectro(pellu2,f=22050,wl=512,ovlp=85,zp=16,
    palette=rev.gray.colors)
# colour modifications
spectro(pellu2,f=22050,wl=512,ovlp=85,zp=16,
palette=rev.cm.colors,osc=TRUE,colwave="orchid1") 
op<-par(bg="black",col="white")
spectro(pellu2,f=22050,wl=512,ovlp=85,zp=16,osc=TRUE,palette=rev.heat.colors,
colgrid="white", colwave="white",colaxis="white",collab="white",
colline="white")
par(op)

Run the code above in your browser using DataLab