Trait basic_dsp_vector::PreciseStatisticsSplitOps[−][src]

pub trait PreciseStatisticsSplitOps<T> {
    type Result;
    fn statistics_split_prec(&self, len: usize) -> ScalarResult<Self::Result>;
}
Expand description

Offers the same functionality as the StatisticsOps trait but the statistics are calculated in a more precise (and slower) way.

Associated Types

Required methods

Calculates the statistics of the data contained in the vector as if the vector would have been split into len pieces using a more precise but slower algorithm. 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<Complex<f32>> = vec!(Complex::new(1.0, 2.0), Complex::new(3.0, 4.0), Complex::new(5.0, 6.0));
let vector = vector.to_complex_time_vec();
let result = vector.statistics_split_prec(2).expect("Ignoring error handling in examples");
assert_eq!(result[0].sum, Complex64::new(6.0, 8.0));
assert_eq!(result[1].sum, Complex64::new(3.0, 4.0));
}

Implementors