Enum NormalizationMode 

#[non_exhaustive]
pub enum NormalizationMode {
    None,
    Forward,
    Backward,
    Ortho,
}

How to normalise after an FFT.

• None – raw DFT output (no scaling)
• Forward – multiply by 1/N after the forward transform
• Backward – multiply by 1/N after the inverse transform (SciPy default)
• Ortho – multiply by 1/√N in both directions (unitary)

Variants (Non-exhaustive)

Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.

None

No normalisation.

Forward

Scale by 1/N (applied to the forward transform).

Backward

Scale by 1/N (applied to the inverse transform; SciPy default).

Ortho

Scale by 1/√N so the DFT matrix is unitary.

Trait Implementations

impl Clone for NormalizationMode

fn clone(&self) -> NormalizationMode

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for NormalizationMode

impl Debug for NormalizationMode

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

Formats the value using the given formatter.

impl Default for NormalizationMode

fn default() -> NormalizationMode

Returns the “default value” for a type.

impl Eq for NormalizationMode

impl PartialEq for NormalizationMode

fn eq(&self, other: &NormalizationMode) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for NormalizationMode