sound_pyramid: Prepare pulse parameters based on generic pulse properties...

In ThierryO/soundcluster: Extract sounds from WAV files and cluster them

Description

• duration: the length of the pulse in ms

• peak_time: the relative position of the peak in the pulse

• peak_frequency: the frequency of the peak in kHz

• frequency_range: the difference between highest and lowest frequency in the pulse (in kHz)

• start_frequency: the relative distance between the peak frequency and the lowest frequency in the pulse. Defined as the difference devided by the frequency range.

• peak_amplitude: the amplitude of the peak in dB. 0 dB is the median loudness

• QXXXX: a set of pyramid values describing the shape of the pulse. The number of pyramid values depends on the total number of pulses and the dimensions of the shape

Usage

sound_pyramid(x, ...)

## S3 method for class 'soundPulse'
sound_pyramid(x, end_frequency = c(10, Inf), ...)

## S3 method for class 'soundDatabase'
sound_pyramid(x, spectrogram, n, ...)

Arguments

x	the object
...	further arguments used by some methods
end_frequency	a vector of length 2 defining the lower and upper boundary for the end frequency of relevant pulses
spectrogram	an optional spectrogram id
n	the optimal sample size. If n is not set, then the entire set will be returned

ThierryO/soundcluster documentation built on May 26, 2019, 12:30 a.m.