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https://github.com/tavurth/godot-fft
Fast Fourier Transform in GDScript
https://github.com/tavurth/godot-fft
fast-fourier-transform fft godot godotengine
Last synced: 3 months ago
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Fast Fourier Transform in GDScript
- Host: GitHub
- URL: https://github.com/tavurth/godot-fft
- Owner: tavurth
- License: mit
- Created: 2023-01-30T06:58:14.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2023-02-24T20:05:25.000Z (over 1 year ago)
- Last Synced: 2024-01-23T08:50:11.226Z (5 months ago)
- Topics: fast-fourier-transform, fft, godot, godotengine
- Language: GDScript
- Homepage: https://godotengine.org/asset-library/asset/1682
- Size: 1.78 MB
- Stars: 21
- Watchers: 2
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: Readme.md
- Funding: FUNDING.yml
- License: LICENSE
Lists
- awesome-godot - Fast Fourier Transform (FFT) - Fast Fourier Transform in GDScript (Godot 4.x). (Plugins and scripts / 3D)
README
# Table of Contents
1. [Installation](#org8e2e1ee)
2. [Notes](#org88d7ed4)
3. [Reference](#org59f1579)
1. [Public methods](#orgf8d976a)
1. [`FFT.fft(data: Array) -> Array`](#org82c6d20)
2. [`FFT.ifft(data: Array) -> Array`](#org8f8ba68)
3. [`FFT.reals(data: Array) -> Array`](#org2446d66)
4. [`FFT.imags(data: Array) -> Array`](#org38e4f06)
5. [`FFT.ensure_complex(data: Array) -> Array`](#orgb19154d)
2. [Internal methods](#orgae1faf8)
1. [`FFT.conjugate(amplitudes: Array) -> Array`](#org757ca89)
2. [`FFT.keyed(data: Array, key: String) -> Data`](#orgf908bfc)
[](https://github.com/godotengine/awesome-godot)
Fast Fourier Transform in GDScript
Mostly modified from [The javascript FFT on rosetta code](https://rosettacode.org/wiki/Fast_Fourier_transform#JavaScript).
# Installation
1. Install addon
2. Enable plugin from the project-settings
The singleton `FFT` is autoloaded at your project start, so you can simply call the static functionality as shown below.
```gdscript
var result = FFT.fft([1, 1, 1, 1, 0, 0, 0, 0])
result = FFT.fft(result)
for item in result:
item.log()
```
# Notes
This is an in-place modification for speed, so if you want to ensure functional purity you can duplicate your data array before passing it into the `fft` or `ifft` functionality. The data array is also returned.
```gdscript
var my_arr = [1, 1, 1, 1, 0, 0, 0, 0]
var result = FFT.fft(my_arr.duplicate(true))
# my_arr remains unchanged
```
How fast is it?
```shell
288.375 ms per 5,000 items.
```
Not so fast, but this can be used as an example to convert to C++, or for situations where you don't need to calculate every frame.
Alternately you can sample the data, so instead of taking every item you can take every `{5th}` item.
This should also be thread safe, so you can run it in the background quite easily using:
```gdscript
var _mutex := Mutex.new()
var _thread := Thread.new()
var _terminated := false
var my_data := []
func _thread_runner() -> void:
while not self._terminated:
OS.delay_msec(100)
mutex.lock()
FTT.ftt(my_data)
mutex.unlock()
func _exit_tree() -> void:
self.terminated = true
self._thread.wait_to_finish()
func _ready() -> void:a
thread.start(Callable(self, "_thread_runner"))
func _process(_delta: float) -> void:
if not _mutex.try_lock():
return
print(my_data)
self._mutex.unlock()
```
# Reference
## Public methods
### `FFT.fft(data: Array) -> Array`
Forward transformation from data-space into fourier-space.
### `FFT.ifft(data: Array) -> Array`
Reverse transformation from fourier-space into data-space.
### `FFT.reals(data: Array) -> Array`
Returns the real part of each data point.
### `FFT.imags(data: Array) -> Array`
Returns the imaginary part of each data point.
### `FFT.ensure_complex(data: Array) -> Array`
Ensure that all data items in the array are Complex numbers.
## Internal methods
### `FFT.conjugate(amplitudes: Array) -> Array`
Flips the sign of each amplitude
### `FFT.keyed(data: Array, key: String) -> Data`
Returns data[idx][key] for each index.
