Description Usage Arguments Value Process Haar Wavelet Variance Formula Haar Wavelet Derivation Information Examples
This function compute the Haar WV of a Gaussian White Noise process
1 | wn_to_wv(sigma2, tau)
|
sigma2 |
A |
tau |
A |
A vec
containing the wavelet variance of the white noise.
The Gaussian White Noise (WN) process has a Haar Wavelet Variance given by:
nu[j]^2 (sigma2) = (sigma2)/(tau[j]^2)
For more information, please see: Supported Haar Wavelet Formulae (Internet Connection Required).
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