Enum Algorithm 

pub enum Algorithm {
    GPDF,
    HighPass,
    RPDF,
    TPDF,
}

Available on crate feature dither only.

Dither algorithm selection for runtime choice

Variants

GPDF

GPDF (Gaussian PDF) - normal/bell curve distribution.

Uses Gaussian white noise which more closely mimics natural processes and analog circuits. Higher noise floor than TPDF.

HighPass

High-pass dithering - reduces low-frequency artifacts.

Uses blue noise (high-pass filtered white noise) to push dither energy toward higher frequencies. Particularly effective for reducing audible low-frequency modulation artifacts.

RPDF

RPDF (Rectangular PDF) - uniform distribution.

Uses uniform white noise for basic decorrelation. Simpler than TPDF but allows some correlation between signal and quantization error at low levels. Slightly lower noise floor than TPDF.

TPDF

TPDF (Triangular PDF) - triangular distribution.

The gold standard for audio dithering. Provides mathematically optimal decorrelation by completely eliminating correlation between the original signal and quantization error.

Trait Implementations

impl Clone for Algorithm

fn clone(&self) -> Algorithm

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Algorithm

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

Formats the value using the given formatter.

impl Default for Algorithm

fn default() -> Algorithm

Returns the “default value” for a type.

impl PartialEq for Algorithm

fn eq(&self, other: &Algorithm) -> 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 Copy for Algorithm

impl Eq for Algorithm

impl StructuralPartialEq for Algorithm