Trait basic_dsp::StatisticsSplitOps
source · pub trait StatisticsSplitOps<T> {
type Result;
// Required method
fn statistics_split(&self, len: usize) -> Result<Self::Result, ErrorReason>;
}Expand description
This trait offers operations to calculate statistics about the data in a type.
Required Associated Types§
Required Methods§
sourcefn statistics_split(&self, len: usize) -> Result<Self::Result, ErrorReason>
fn statistics_split(&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. 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!(Complex32::new(1.0, 2.0), Complex32::new(3.0, 4.0), Complex32::new(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));
}