Description Usage Arguments Details Value References See Also Examples

Computes the continuous wavelet transform with for (complex-valued) derivative of Gaussian wavelets.

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`input` |
input signal (possibly complex-valued). |

`noctave` |
number of powers of 2 for the scale variable. |

`moments` |
number of vanishing moments of the wavelet (order of the derivative). |

`nvoice` |
number of scales in each octave (i.e. between two consecutive powers of 2) |

`twoD` |
logical variable set to T to organize the output as a 2D array (signal\_size x nb\_scales), otherwise, the output is a 3D array (signal\_size x noctave x nvoice) |

`plot` |
if set to T, display the modulus of the continuous wavelet transform on the graphic device |

The output contains the (complex) values of the wavelet transform of the input signal. The format of the output can be

2D array (signal\_size x nb\_scales)

3D array (signal\_size x noctave x nvoice)

continuous (complex) wavelet transform

See discussions in the text of “Practical Time-Frequency Analysis”.

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