omni-wave

Crates.ioomni-wave
lib.rsomni-wave
version0.2.1
sourcesrc
created_at2023-05-30 13:16:06.97398
updated_at2023-06-02 17:47:13.201644
descriptionEasy to use DWT (Discrete Wavelet Transform) library, no need to worry about padding, and a variety of wavelets are available.
homepage
repositoryhttps://github.com/eternal-io/omni-wave
max_upload_size
id877890
size40,138
K--Aethiax (eternal-io)

documentation

https://docs.rs/omni-wave

README

omni-wave

Easy to use DWT (Discrete Wavelet Transform) library, no need to worry about padding, and a variety of wavelets are available.

CAUTION: My knowledge can't vouch for it being "correct", but it does "concentrate energy" and "reconstruct perfectly".

use approx::assert_abs_diff_eq;
use ndarray::{Array1, Array2, Axis};
use omni_wave::*;

let wavelet = wavelet::BIOR_3_1;
let love = Array2::from_shape_vec((8, 8),
vec![0., 0., 0., 0., 0., 0., 0., 0.,
     0., 0.,99., 0., 0.,99., 0., 0.,
     0.,99.,99.,99.,99.,99.,99., 0.,
     0.,99.,99.,99.,99.,99.,99., 0.,
     0.,99.,99.,99.,99.,99.,99., 0.,
     0., 0.,99.,99.,99.,99., 0., 0.,
     0., 0., 0.,99.,99., 0., 0., 0.,
     0., 0., 0., 0., 0., 0., 0., 0.,]).unwrap();

let mut signal = love.clone();
let mut buffer = Array1::zeros(signal.len_of(Axis(0)) + wavelet.window_size() - 2); // The minimum length of a buffer

completely_decompose_2d(signal.view_mut(), buffer.view_mut(), wavelet);
completely_reconstruct_2d(signal.view_mut(), buffer.view_mut(), wavelet);

love.into_iter()
    .zip(signal)
    .for_each(|(a, b)| assert_abs_diff_eq!(a, b, epsilon = 0.0001));

Features

  • f64 - The default primitive type used for calculations is f32. Enable this feature to switch to f64.

Knowledges

Signal

The data need to transform. The length should be even. Failure to meet the length requirement may not result a panic, but the behavior of functions will be undefined.

The left half of the input will be considered as Approx, while the right half will be considered as Detail.

Padding

The extension of a signal when processing. Our filling method named periodic (in PyWavelets), ppd (in Matlab) or wrap (in numpy.pad).

[ A.B.C.D.E.F.G.H ] a.b.c.d ...
  ↑^^^^^^^^^^^^^^   ↑^^^^^^
  Original signal   Padding: automatically fill & detach.

Originally, I planned to provide more extension mode, but found that the first coefficient of wavelets such as bior2.2 is zero... Wouldn't the information be lost in this way? ? So currently only periodic mode is provided. Let me know if you have a better suggestion.

Buffer

Temporary buffer for calculations. For performance, it is strongly recommended that it be contiguous in memory.

window_size

The number of wavelet coefficients.

Commit count: 3

cargo fmt