Description Usage Arguments Details Value Author(s) Examples

View source: R/wignerTransform.R

Calculates the Wigner-Ville transform a signal. By default, the signal will be zero-padded to the next power of two before computing the transform, and creates an NxN matrix where N is the zero-padded length. Note that this matrix can get very large for larger N, consider shortening longer signals.

1 | ```
wignerTransform(signal, n = NULL, sr, plot = FALSE)
``` |

`signal` |
input signal waveform |

`n` |
number of frequency bins of the output, if NULL will be the next power of two from the length of the input signal (recommended) |

`sr` |
the sample rate of the data |

`plot` |
logical flag whether or not to plot the result |

This code mostly follows Pamguard's Java code for computing the Wigner-Ville and Hilbert transforms.

a list with three items. `tfr`

, the real values of the wigner
transform as a matrix with `n`

rows and number of columns equal to the next
power of two from the length of the input signal. `f`

and `t`

the values of the frequency and time axes.

Taiki Sakai taiki.sakai@noaa.gov

1 2 3 | ```
clickWave <- createClickWave(signalLength = .05, clickLength = 1000, clicksPerSecond = 200,
frequency = 3e3, sampleRate = 10e3)
wt <- wignerTransform(clickWave@left, n = 1000, sr = 10e3, plot=TRUE)
``` |

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