Module concrete_commons::dispersion

Noise distribution

When dealing with noise, we tend to use different representation for the same value. In general, the noise is specified by the standard deviation of a gaussian distribution, which is of the form $\sigma = 2^p$, with $p$ a negative integer. Depending on the use case though, we rely on different representations for this quantity:

• $\sigma$ can be encoded in the StandardDev type.
• $p$ can be encoded in the LogStandardDev type.
• $\sigma^2$ can be encoded in the Variance type.

In any of those cases, the corresponding type implements the DispersionParameter trait, which makes if possible to use any of those representations generically when noise must be defined.

Structs

LogStandardDev

A distribution parameter that uses the base-2 logarithm of the standard deviation as representation.

StandardDev

A distribution parameter that uses the standard deviation as representation.

Variance

A distribution parameter that uses the variance as representation

Traits

DispersionParameter

A trait for types representing distribution parameters, for a given unsigned integer type.