Struct NoiseCov 

pub struct NoiseCov {
    pub diag: bool,
    /* private fields */
}

Noise covariance matrix.

Can be a full [n_channels, n_channels] matrix or a diagonal vector.

Construction

• Directly: NoiseCov::full or NoiseCov::diagonal.
• From data: covariance::compute_covariance or covariance::compute_covariance_epochs.

Fields

diag: bool

If true, data is [n, 1] (diagonal elements only).

Implementations

impl NoiseCov

pub fn full(data: Array2<f64>) -> Self

Create from a full covariance matrix [n, n].

pub fn diagonal(variances: Vec<f64>) -> Self

Create from diagonal variances (channel noise powers).

pub fn n_channels(&self) -> usize

Number of channels.

pub fn to_full(&self) -> Array2<f64>

Return the full covariance matrix (expanding diagonal if needed).

pub fn diag_elements(&self) -> Array1<f64>

Return the diagonal elements (channel variances).

Trait Implementations

impl Clone for NoiseCov

fn clone(&self) -> NoiseCov

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for NoiseCov

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.