Struct bayes_estimate::noise::CoupledNoise[][src]

pub struct CoupledNoise<N: RealField, D: Dim, QD: Dim> where
    DefaultAllocator: Allocator<N, D, QD> + Allocator<N, QD>, 
{ pub q: VectorN<N, QD>, pub G: MatrixMN<N, D, QD>, }

Additive noise.

Noise represented as a the noise variance vector and a noise coupling matrix. The noise covariance is G.q.G’.

Fields

q: VectorN<N, QD>

Noise variance

G: MatrixMN<N, D, QD>

Noise coupling

Implementations

impl<N: RealField, D: Dim> CoupledNoise<N, D, D> where
    DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>, 
[src]

pub fn from_correlated(
    correlated: &CorrelatedNoise<N, D>
) -> Result<Self, &'static str>
[src]

Creates a CoupledNoise from an CorrelatedNoise. The CorrelatedNoise must be PSD. The resulting ‘q’ is always a vector of 1s.

Auto Trait Implementations

impl<N, D, QD> !RefUnwindSafe for CoupledNoise<N, D, QD>

impl<N, D, QD> !Send for CoupledNoise<N, D, QD>

impl<N, D, QD> !Sync for CoupledNoise<N, D, QD>

impl<N, D, QD> !Unpin for CoupledNoise<N, D, QD>

impl<N, D, QD> !UnwindSafe for CoupledNoise<N, D, QD>

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized
[src]

impl<T> Borrow<T> for T where
    T: ?Sized
[src]

impl<T> BorrowMut<T> for T where
    T: ?Sized
[src]

impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, 
[src]

impl<T> Same<T> for T

type Output = T

Should always be Self

impl<SS, SP> SupersetOf<SS> for SP where
    SS: SubsetOf<SP>, 

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
[src]

type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
[src]

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<V, T> VZip<V> for T where
    V: MultiLane<T>,