cwtTh {Rwave}R Documentation

Cauchy's wavelet transform

Description

Compute the continuous wavelet transform with (complex-valued) Cauchy's wavelet.

Usage

cwtTh(input, noctave, nvoice=1, moments, twoD=TRUE, plot=TRUE)

Arguments

input input signal (possibly complex-valued).
noctave number of powers of 2 for the scale variable.
nvoice number of scales in each octave (i.e. between two consecutive powers of 2).
moments number of vanishing moments.
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.

Details

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)

Value

tmp continuous (complex) wavelet transform.

References

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

See Also

cwt, cwtp, DOG, gabor.


[Package Rwave version 1.24-2 Index]