Trait basic_dsp_vector::StatisticsSplitOps [−][src]
pub trait StatisticsSplitOps<T> { type Result; fn statistics_split(&self, len: usize) -> ScalarResult<Self::Result>; }
This trait offers operations to calculate statistics about the data in a type.
Associated Types
type Result
Required Methods
fn statistics_split(&self, len: usize) -> ScalarResult<Self::Result>
Calculates the statistics of the data contained in the vector as if the vector would
have been split into len
pieces. self.len
should be dividable by
len
without a remainder,
but this isn't enforced by the implementation.
For implementation reasons len <= 16
must be true.
Example
use basic_dsp_vector::*; let vector = vec!(1.0, 2.0, 3.0, 4.0, 5.0, 6.0).to_complex_time_vec(); let result = vector.statistics_split(2).expect("Ignoring error handling in examples"); assert_eq!(result[0].sum, Complex32::new(6.0, 8.0)); assert_eq!(result[1].sum, Complex32::new(3.0, 4.0)); }
Implementors
impl<S, T, N, D> StatisticsSplitOps<T> for DspVec<S, T, N, D> where
S: ToSlice<T>,
T: RealNumber,
N: RealNumberSpace,
D: Domain, type Result = StatsVec<Statistics<T>>;impl<S, T, N, D> StatisticsSplitOps<Complex<T>> for DspVec<S, T, N, D> where
S: ToSlice<T>,
T: RealNumber,
N: ComplexNumberSpace,
D: Domain, type Result = StatsVec<Statistics<Complex<T>>>;