Trait basic_dsp::PreciseStatisticsSplitOps
source · pub trait PreciseStatisticsSplitOps<T> {
type Result;
// Required method
fn statistics_split_prec(
&self,
len: usize
) -> Result<Self::Result, ErrorReason>;
}Expand description
Offers the same functionality as the StatisticsOps trait but
the statistics are calculated in a more precise (and slower) way.
Required Associated Types§
Required Methods§
sourcefn statistics_split_prec(&self, len: usize) -> Result<Self::Result, ErrorReason>
fn statistics_split_prec(&self, len: usize) -> Result<Self::Result, ErrorReason>
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));
}