freq_range_detec: Detect frequency range on wave objects

In warbleR: Streamline Bioacoustic Analysis

Detect frequency range on wave objects

Description

freq_range_detec detects the frequency range of acoustic signals on wave objects.

Usage

freq_range_detec(wave, wl = 512, fsmooth = 0.1, threshold = 10,
dB.threshold = NULL, wn = "hanning", flim = NULL, bp = NULL,
fast.spec = FALSE, ovlp = 50, pal = reverse.gray.colors.2,
 widths = c(2, 1), main = NULL, plot = TRUE, all.detec = FALSE)

Arguments

wave	A 'wave' object produced by readWave or similar functions.
wl	A numeric vector of length 1 specifying the window length of the spectrogram, default is 512. This is used for calculating the frequency spectrum (using meanspec) and producing the spectrogram (using spectro, if plot = TRUE).
fsmooth	A numeric vector of length 1 to smooth the frequency spectrum with a mean sliding window in kHz. This help to average amplitude "hills" to minimize the effect of amplitude modulation. Default is 0.1.
threshold	Amplitude threshold (%) for frequency range detection. The frequency range (not the cumulative amplitude) is represented as percentage (100% = highest amplitude). Default is 10. Ignored if 'dB.threshold' is supplied.
dB.threshold	Amplitude threshold for frequency range detection (in dB). The value indicates the decrease in dB in relation to the highest amplitude (e.g. the peak frequency) in which range will be detected. For instance a dB.threshold = 20 means that the amplitude threshold would be 20 dB below the highest amplitude. If provided 'threshold' is ignored. Default is NULL. Note that the power spectrum is normalized when using a dB scale, so it looks different than the one produced when no dB scale is used (e.g. when using 'threshold' argument).
wn	Character vector of length 1 specifying window name. Default is "hanning". See function ftwindow for more options. This is used for calculating the frequency spectrum (using meanspec) and producing the spectrogram (using spectro, if plot = TRUE).
flim	A numeric vector of length 2 for the frequency limit of the spectrogram (in kHz), as in spectro. Default is NULL.
bp	A numeric vector of length 2 for the lower and upper limits of a frequency bandpass filter (in kHz) or "frange" to indicate that values in 'bottom.freq' and 'top.freq' columns will be used as bandpass limits. Default is NULL.
fast.spec	Logical. If TRUE then image function is used internally to create spectrograms, which substantially increases performance (much faster), although some options become unavailable, as collevels, and sc (amplitude scale). This option is indicated for signals with high background noise levels. Palette colors gray.1, gray.2, gray.3, topo.1 and rainbow.1 (which should be imported from the package monitoR) seem to work better with 'fast.spec' spectrograms. Palette colors gray.1, gray.2, gray.3 offer decreasing darkness levels.
ovlp	Numeric vector of length 1 specifying % of overlap between two consecutive windows, as in spectro. Default is 50. This is used for calculating the frequency spectrum (using meanspec) and producing the spectrogram (using spectro, if plot = TRUE).
pal	Color palette function for spectrogram. Default is reverse.gray.colors.2. See spectro for more palettes. Palettes as gray.2 may work better when fast.spec = TRUE.
widths	Numeric vector of length 2 to control the relative widths of the spectro (first element) and spectrum (second element).
main	Character vector of length 1 specifying the plot title. Default is NULL.
plot	Logical. Controls whether an image file is produced for each selection (in the working directory). Default is TRUE.
all.detec	Logical. If TRUE returns the start and end of all detected amplitude "hills". Otherwise only the range is returned. Default is FALSE.

Details

This functions aims to automatize the detection of frequency ranges. The frequency range is calculated as follows:

• bottom.freq = the start frequency of the amplitude 'hill' containing the highest amplitude at the given threshold.

• top.freq = the end frequency of the amplitude 'hill' containing the highest amplitude at the given threshold.

If plot = TRUE a graph including a spectrogram and a frequency spectrum is produced in the graphic device. The graph would include gray areas in the frequency ranges excluded by the bandpass ('bp' argument), dotted lines highlighting the detected range.

Value

A data frame with 2 columns for low and high frequency values. A plot is produced (in the graphic device) if plot = TRUE (see details).

Author(s)

Marcelo Araya-Salas ([e-mail])

References

Araya-Salas, M., & Smith-Vidaurre, G. (2017). warbleR: An R package to streamline analysis of animal acoustic signals. Methods in Ecology and Evolution, 8(2), 184-191.

See Also

frange, autodetec

Examples

{
  data(tico)
  freq_range_detec(
    wave = tico, wl = 512, fsmooth = 0.01, threshold = 1, bp = c(2, 8),
    widths = c(4, 2)
  )

  data(sheep)
  freq_range_detec(
    wave = sheep, wl = 512, fsmooth = 0.2, threshold = 50, bp = c(0.3, 1),
    flim = c(0, 1.5), pal = reverse.heat.colors, main = "sheep"
  )
}

warbleR documentation built on Sept. 8, 2023, 5:15 p.m.