Trait basic_dsp::ReorganizeDataOps

pub trait ReorganizeDataOps<T> where
    T: RealNumber, {
    pub fn reverse(&mut self);
    pub fn swap_halves(&mut self);
}

This trait allows to reorganize the data by changing positions of the individual elements.

Required methods

pub fn reverse(&mut self)

Reverses the data inside the vector.

Example

use basic_dsp_vector::*;
let mut vector = vec!(1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0).to_real_time_vec();
vector.reverse();
assert_eq!([8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0], vector[..]);

pub fn swap_halves(&mut self)

This function swaps both halves of the vector. This operation is also called FFT shift Use it after a plain_fft to get a spectrum which is centered at 0 Hz.

swap_halvesb requires a buffer but performs faster.

Example

use basic_dsp_vector::*;
let mut vector = vec!(1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0).to_real_time_vec();
vector.swap_halves();
assert_eq!([5.0, 6.0, 7.0, 8.0, 1.0, 2.0, 3.0, 4.0], vector[..]);

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Implementors

impl<S, T, N, D> ReorganizeDataOps<T> for DspVec<S, T, N, D> where
    N: NumberSpace,
    T: RealNumber,
    S: ToSliceMut<T>,
    D: Domain, 

pub fn reverse(&mut self)

pub fn swap_halves(&mut self)

impl<V, S, T> ReorganizeDataOps<T> for Matrix2xN<V, S, T> where
    T: RealNumber,
    S: ToSlice<T>,
    V: Vector<T> + ReorganizeDataOps<T>, 

pub fn reverse(&mut self)

pub fn swap_halves(&mut self)

impl<V, S, T> ReorganizeDataOps<T> for Matrix3xN<V, S, T> where
    T: RealNumber,
    S: ToSlice<T>,
    V: Vector<T> + ReorganizeDataOps<T>, 

pub fn reverse(&mut self)

pub fn swap_halves(&mut self)

impl<V, S, T> ReorganizeDataOps<T> for Matrix4xN<V, S, T> where
    T: RealNumber,
    S: ToSlice<T>,
    V: Vector<T> + ReorganizeDataOps<T>, 

pub fn reverse(&mut self)

pub fn swap_halves(&mut self)

impl<V, S, T> ReorganizeDataOps<T> for MatrixMxN<V, S, T> where
    T: RealNumber,
    S: ToSlice<T>,
    V: Vector<T> + ReorganizeDataOps<T>, 

pub fn reverse(&mut self)

pub fn swap_halves(&mut self)

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