FftFlat 0.2.1

There is a newer version of this package available.
See the version list below for details.
dotnet add package FftFlat --version 0.2.1                
NuGet\Install-Package FftFlat -Version 0.2.1                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="FftFlat" Version="0.2.1" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add FftFlat --version 0.2.1                
#r "nuget: FftFlat, 0.2.1"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install FftFlat as a Cake Addin
#addin nuget:?package=FftFlat&version=0.2.1

// Install FftFlat as a Cake Tool
#tool nuget:?package=FftFlat&version=0.2.1                

FftFlat

The purpose of this library is to provide a reasonably fast FFT implementation, entirely in pure C#. This library is adapted from General Purpose FFT Package by Ooura, modified to be compatible with the .NET Standard complex number type.

Features

  • Fast: More than twice as fast as the managed FFT implementation in Math.NET Numerics.
  • Lightweight: Small code size, with no dependencies other than .NET Standard 2.1.

Installation

The NuGet package is available:

Install-Package FftFlat

If you don't want to add a DLL, copy the .cs files to your project.

Usage

First, add a using statement for the FftFlat namespace.

using FftFlat;

To perform FFT or IFFT, create an instance of FastFourierTransform and call the appropriate method.

var samples = new Complex[1024];
samples[0] = 1;

var fft = new FastFourierTransform(1024);
fft.ForwardInplace(samples);

Important Notices

Ooura's original FFT implementation is based on a different definition from that used in Math.NET Numerics. FFtFlat adjusts this difference, ensuring its results match those of Math.NET Numerics' FFT.

Normalization is only done during the IFFT. This is similar to using FourierOptions.AsymmetricScaling for FFT in Math.NET Numerics.

Note that the FastFourierTransform object is not thread-safe. If performing FFT across multiple threads, ensure a separate instance is provided for each thread.

Demo

In this demo video, the spectrum is visualized in real-time as sound is played using AudioStream of RayLib-CsLo.

https://www.youtube.com/watch?v=KTpG_z_ejZ0

Performance

The following is a benchmark comparing this with other pure C# FFT implementations. In this benchmark, the time taken to perform FFT and IFFT on a random signal was measured. The FFT lengths used were powers of two, ranging from 256 to 8192.

Method Length Mean Error StdDev Gen0 Allocated
FftFlat 256 1.528 μs 0.0029 μs 0.0026 μs - -
FftSharp 256 19.160 μs 0.0760 μs 0.0711 μs - -
MathNet 256 7.809 μs 0.0239 μs 0.0212 μs - -
FftFlat 512 3.657 μs 0.0086 μs 0.0080 μs - -
FftSharp 512 43.115 μs 0.1461 μs 0.1367 μs - -
MathNet 512 16.250 μs 0.0471 μs 0.0440 μs - -
FftFlat 1024 7.624 μs 0.0352 μs 0.0294 μs - -
FftSharp 1024 93.643 μs 0.1119 μs 0.1046 μs - -
MathNet 1024 39.235 μs 0.0591 μs 0.0524 μs 1.5869 20875 B
FftFlat 2048 17.883 μs 0.0602 μs 0.0563 μs - -
FftSharp 2048 205.152 μs 0.4467 μs 0.4179 μs - -
MathNet 2048 77.048 μs 0.3446 μs 0.2878 μs 1.8311 24692 B
FftFlat 4096 39.643 μs 0.3727 μs 0.3486 μs - -
FftSharp 4096 444.473 μs 0.6072 μs 0.5382 μs - -
MathNet 4096 183.645 μs 0.7292 μs 0.6821 μs 2.4414 33076 B
FftFlat 8192 113.593 μs 0.6839 μs 0.6397 μs - -
FftSharp 8192 956.056 μs 1.3150 μs 1.2300 μs - 1 B
MathNet 8192 321.394 μs 0.9518 μs 0.8437 μs 3.4180 46710 B

Todo

  • ✅ FFT for power-of-two length samples
  • ⬜ FFT for arbitrary length samples
  • ⬜ Other transformations (such as cosine transform)
  • ⬜ Support for 32-bit floating-point numbers

License

FftFlat is available under the MIT license.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.1 is compatible. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • .NETStandard 2.1

    • No dependencies.

NuGet packages (1)

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NumFlat

A numerical computation library for C#

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Version Downloads Last updated
1.0.1 603 1/13/2024
1.0.0 111 1/10/2024
0.3.1 116 1/7/2024
0.3.0 128 12/28/2023
0.2.1 139 12/16/2023
0.2.0 140 12/15/2023
0.1.0 193 10/24/2023