Enum WindowFunction 

pub enum WindowFunction {
    Rectangular,
    Hann,
    Hamming,
    Blackman,
    Kaiser(f32),
    FlatTop,
    Nuttall,
    Gaussian(f32),
    Bartlett,
    Welch,
}

Standard window functions for spectral analysis.

Variants

Rectangular

Rectangular / boxcar — no windowing.

Hann

Hann window (raised cosine).

Hamming

Hamming window.

Blackman

Blackman window.

Kaiser(f32)

Kaiser window with parameter β.

FlatTop

Flat-top window for accurate amplitude measurement.

Nuttall

Nuttall window (minimum 4-term Blackman-Harris).

Gaussian(f32)

Gaussian window with parameter σ (fraction of half-window).

Bartlett

Bartlett (triangle) window.

Welch

Welch window.

Implementations

impl WindowFunction

pub fn coefficient(&self, n: usize, len: usize) -> f32

Compute the window coefficient for sample n in a window of length len.

pub fn apply(&self, samples: &mut [f32])

Apply the window function in-place to a slice of samples.

pub fn generate(&self, len: usize) -> Vec<f32>

Generate the full window vector.

pub fn coherent_gain(&self, len: usize) -> f32

Coherent gain (mean of window coefficients) — used for amplitude correction.

pub fn power_gain(&self, len: usize) -> f32

Power gain — RMS of window coefficients.

Trait Implementations

impl Clone for WindowFunction

fn clone(&self) -> WindowFunction

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for WindowFunction

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

Formats the value using the given formatter.

impl PartialEq for WindowFunction

fn eq(&self, other: &WindowFunction) -> 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 WindowFunction

impl StructuralPartialEq for WindowFunction