Struct light_curve_feature::PeriodogramPowerFft

pub struct PeriodogramPowerFft<T> where
    T: Float,  { /* fields omitted */ }

“Fast” (FFT-based) periodogram executor

This algorithm spreads observer time series into uniform time grid using linear interpolation and then uses FFT to obtain periodogram sums. This implementation returns estimation of Lomb-Scargle periodogram that derives to the exact values while max_freq_factor grows. Asymptotic time is $O(N \log N)$, it is faster then PeriodogramPowerDirect even for $N \gtrsim 10$. Note that current implementation uses two-powered time grids and requires to estimate the best FFT algorithm for each pair of grid size and working thread that can take several seconds, especially for large grids.

The implementation is inspired by Numerical Recipes, Press et al., 1997, Section 13.8

Implementations

impl<T> PeriodogramPowerFft<T> where
    T: Float, 

pub fn new() -> Self

Trait Implementations

impl<T: Clone> Clone for PeriodogramPowerFft<T> where
    T: Float, 

fn clone(&self) -> PeriodogramPowerFft<T>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<T> Debug for PeriodogramPowerFft<T> where
    T: Float, 

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

Formats the value using the given formatter.

impl<T> Default for PeriodogramPowerFft<T> where
    T: Float, 

fn default() -> Self

Returns the “default value” for a type.

impl<'de, T> Deserialize<'de> for PeriodogramPowerFft<T> where
    T: Float,
    T: Float, 

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl<T> From<PeriodogramPowerFft<T>> for PeriodogramPower<T> where
    T: Float, 

fn from(v: PeriodogramPowerFft<T>) -> PeriodogramPower<T>

Performs the conversion.

impl<T> JsonSchema for PeriodogramPowerFft<T> where
    T: Float, 

fn is_referenceable() -> bool

Whether JSON Schemas generated for this type should be re-used where possible using the $ref keyword.

fn schema_name() -> String

The name of the generated JSON Schema.

fn json_schema(gen: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

impl<T> Serialize for PeriodogramPowerFft<T> where
    T: Float,
    T: Float, 

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl<T> TryInto<PeriodogramPowerFft<T>> for PeriodogramPower<T> where
    T: Float, 

type Error = &'static str

The type returned in the event of a conversion error.

fn try_into(
    self
) -> Result<PeriodogramPowerFft<T>, <Self as TryInto<PeriodogramPowerFft<T>>>::Error>

Performs the conversion.