spectro: Plot a spectrogram

In bioacoustics: Analyse Audio Recordings and Automatically Extract Animal Vocalizations

Description

Plot a spectrogram

Usage

spectro(
  wave,
  channel = "left",
  FFT_size = 256,
  FFT_overlap = 0.875,
  FFT_win = "hann",
  LPF,
  HPF = 0,
  tlim = NULL,
  flim = NULL,
  ticks_y = NULL,
  col = gray.colors(25, 1, 0)
)

Arguments

wave	a Wave object.
channel	character. Channel to keep for analysis in a stereo recording: "left" or "right". Default setting is left.
FFT_size	integer. Size of the Fast Fourrier Transform (FFT) window. Default setting is 256.
FFT_overlap	numeric. Percentage of overlap between two FFT windows (from 0 to 1). Default setting is 0.875.
FFT_win	character. Specify the type of FFT window: "hann", "blackman4", or "blackman7". Default setting is "hann".
LPF	integer. Low-Pass Filter (Hz). Frequencies above the cutoff are greatly attenuated. Default setting is the Nyquist frequency of the recording.
HPF	integer. High-Pass Filter (Hz). Frequencies below the cutoff are greatly attenuated. Default setting is 0 Hz.
tlim	numeric. Specify the time limits on the X-axis in seconds (s). Default setting is NULL, i.e no time limits.
flim	numeric. Specify the frequency limits on the Y-axis in Hz. Default setting is NULL, i.e. frequency limits are equal to c(0, LPF).
ticks_y	numeric. Whether tickmarks should be drawn on the frequency Y-axis or not. The lower and upper bounds of the tickmarks and their intervals (in Hz) has to be specified. Default setting is NULL.
col	set the colors for the amplitude scale (dB) of the spectrogram.

Examples

data(myotis)
spectro(myotis, tlim = c(1, 2))

bioacoustics documentation built on Feb. 8, 2022, 5:06 p.m.