scale_sigma: Rescale the noise variance of a Gaussian OutcomeModel to meet...
In phuchonguyen/mpower: Power Analysis via Monte Carlo Simulation for Correlated Data
scale_sigma R Documentation
Rescale the noise variance of a Gaussian OutcomeModel to meet a given SNR
Description
Rescale the noise variance of a Gaussian OutcomeModel to meet a given SNR
Usage
scale_sigma(snr, ymod, xmod, m = 5000)
Arguments
snr
A SNR
ymod
A OutcomeModel object to modify
xmod
A MixtureModel object
m
Number of MC samples to estimate the SNR of a proposed noise variance
Value
A new OutcomeModel object
phuchonguyen/mpower documentation built on Oct. 2, 2022, 7:57 p.m.
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| scale_sigma | R Documentation |
Rescale the noise variance of a Gaussian OutcomeModel to meet a given SNR
Description
Rescale the noise variance of a Gaussian OutcomeModel to meet a given SNR
Usage
scale_sigma(snr, ymod, xmod, m = 5000)
Arguments
snr |
A SNR |
ymod |
A OutcomeModel object to modify |
xmod |
A MixtureModel object |
m |
Number of MC samples to estimate the SNR of a proposed noise variance |
Value
A new OutcomeModel object
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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