qn_to_wv: Quantisation Noise (QN) to WV
In simts: Time Series Analysis Tools
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\left( {{Q^2}} \right) = \frac{{6{Q^2}}}{{\tau _j^2}}
simts documentation built on Aug. 31, 2023, 5:07 p.m.
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| 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\left( {{Q^2}} \right) = \frac{{6{Q^2}}}{{\tau _j^2}}
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.
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