spectrogram: Plot the spectrogram of signal.

In rsleep: Analysis of Sleep Data

Plot the spectrogram of signal.

Description

'spectrogram' resamples signal and use the 'specgram' function from the 'signal' library to compute the spectrogram. Results resolution can be then reduced to quickly plot large signals.

Usage

spectrogram(
  signal,
  sRate,
  maxFreq = 25,
  n = 1024,
  window = n,
  overlap = 0,
  cols = c(rep("#3B9AB2", 9), "#78B7C5", "#EBCC2A", "#E1AF00", rep("#F21A00", 6)),
  freq = 4,
  plot = TRUE,
  startTime = as.POSIXct("1970/01/01 00:00:00")
)

Arguments

signal	Numerical vector of the signal.
sRate	Signal sample rate in Hertz.
maxFreq	Maximal frequency to plot in Hertz. Signal will be resampled at maxFreq*2 sample rate.
n	The size of the Fourier transform window.
window	Shape of the fourier transform window, defaults to n.
overlap	Overlap with previous window, defaults to 0.
cols	Color scale used for the underlying plot function.
freq	Aggregate frequency used to lower spectrogram resolution. Defaults to 4.
plot	Boolean, plot or not the spectrogram.
startTime	Posixct of the signal start. Adjust the x axis labels accordingly.

Value

A spectrogram.

Examples

library(signal)
spectrogram(chirp(seq(-2, 15, by = 0.001), 400, 10, 100, 'quadratic'),20,n=1024)

rsleep documentation built on Nov. 6, 2023, 1:06 a.m.