qn_to_wv: Quantisation Noise (QN) to WV
In schoi355/gmwm: Generalized Method of Wavelet Moments
qn_to_wv R Documentation
Quantisation Noise (QN) to WV
Description
This function compute the Haar WV of a Quantisation Noise (QN) process
Usage
qn_to_wv(q2, tau)
Arguments
q2
A double corresponding to variance of drift
tau
A vec containing the scales e.g. 2^tau
Value
A vec containing the wavelet variance of the QN.
Process Haar Wavelet Variance Formula
The Quantization Noise (QN) process has a Haar Wavelet Variance given by:
nu[j]^2 = (6*Q2)/(tau[j]^2)
Haar Wavelet Derivation Information
For more information, please see: Supported Haar Wavelet Formulae (Internet Connection Required).
Examples
ntau = 8
tau = 2^(1:ntau)
wv.theo = qn_to_wv(.42, tau)
schoi355/gmwm documentation built on April 11, 2022, 1:21 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| qn_to_wv | R Documentation |
Quantisation Noise (QN) to WV
Description
This function compute the Haar WV of a Quantisation Noise (QN) process
Usage
qn_to_wv(q2, tau)
Arguments
q2 |
A |
tau |
A |
Value
A vec containing the wavelet variance of the QN.
Process Haar Wavelet Variance Formula
The Quantization Noise (QN) process has a Haar Wavelet Variance given by:
nu[j]^2 = (6*Q2)/(tau[j]^2)
Haar Wavelet Derivation Information
For more information, please see: Supported Haar Wavelet Formulae (Internet Connection Required).
Examples
ntau = 8 tau = 2^(1:ntau) wv.theo = qn_to_wv(.42, tau)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.