energyDensity.WaveData: energyDensity implementation for WaveData objects

In LiKao/VoiceExperiment: Analysis of Vocal Responses to Psychological Experiments

Description

energyDensity implementation for WaveData objects

Usage

## S3 method for class 'WaveData'
energyDensity(ts, window.width = 10, stepsize = 5,
  normalize = 1, window.function = signal::hanning, ...)

Arguments

ts	The object that contains the time series data
window.width	The windowing width that is used to estimate the density (in ms). The time series data is chopped into windows of this length, and the energy density is calculated for each of these windows seperately. Defaults to 10ms.
stepsize	The stepsize to be used for windowing. Windows are advanced this many ms for each calculation. Can be used to create overlapping windows. Defaults to 5ms.
normalize	Normalization level for energy density values. Maximum energy density will be set to this level to simplify comparison between data files. Set to 0 to deactivate normalization. Defaults to 0.9. Maximum normalization to 1.
window.function	The windowing function to be used. This argument can be used to give different weigth to different samples within the window. Several usable windowing functions are defined in the signal package. Defaults to boxcar, i.e. equal weight for all samples.
...	ignored

LiKao/VoiceExperiment documentation built on May 7, 2019, 1:19 p.m.