Struct signalo_filters::filter::mean::exp::Mean [−][src]
pub struct Mean<T> { /* fields omitted */ }
A filter producing the exponential moving average over a given signal.
Methods
impl<T> Mean<T> where
T: PartialOrd + Zero + One,
[src]
impl<T> Mean<T> where
T: PartialOrd + Zero + One,
pub fn new(beta: T) -> Self
[src]
pub fn new(beta: T) -> Self
Creates a new Mean
filter with beta = 1.0 / n
with n
being the filter width.
ⓘImportant traits for &'a mut Rpub fn beta(&self) -> &T
[src]
ⓘImportant traits for &'a mut R
pub fn beta(&self) -> &T
Returns the filter's beta
coefficient.
Trait Implementations
impl<T: Clone> Clone for Mean<T>
[src]
impl<T: Clone> Clone for Mean<T>
fn clone(&self) -> Mean<T>
[src]
fn clone(&self) -> Mean<T>
Returns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)
1.0.0[src]
fn clone_from(&mut self, source: &Self)
1.0.0
[src]Performs copy-assignment from source
. Read more
impl<T: Debug> Debug for Mean<T>
[src]
impl<T: Debug> Debug for Mean<T>
fn fmt(&self, f: &mut Formatter) -> Result
[src]
fn fmt(&self, f: &mut Formatter) -> Result
Formats the value using the given formatter. Read more
impl<T> Stateful for Mean<T>
[src]
impl<T> Stateful for Mean<T>
type State = State<T>
The filter's internal state.
impl<T> StatefulUnsafe for Mean<T>
[src]
impl<T> StatefulUnsafe for Mean<T>
unsafe fn state(&self) -> &Self::State
[src]
unsafe fn state(&self) -> &Self::State
Returns a mutable reference to the internal state of the filter.
unsafe fn state_mut(&mut self) -> &mut Self::State
[src]
unsafe fn state_mut(&mut self) -> &mut Self::State
Returns a mutable reference to the internal state of the filter.
impl<T> InitialState<()> for Mean<T>
[src]
impl<T> InitialState<()> for Mean<T>
fn initial_state(_: ()) -> Self::State
[src]
fn initial_state(_: ()) -> Self::State
Returns the filter's initial state for a given parameter.
impl<T> Resettable for Mean<T>
[src]
impl<T> Resettable for Mean<T>
impl<T> Filter<T> for Mean<T> where
T: Copy + Num,
[src]
impl<T> Filter<T> for Mean<T> where
T: Copy + Num,