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Fast Fourier Transforms (FFT's)
Whether you're using C#, Visual Basic (VB.NET), F#, IronPython, the Extreme Optimization Numerical Libraries
for .NET make it easy to include FFT functionality in your .NET applications.
The Extreme Optimization Numerical Libraries for .NET are a complete math,
vector/matrix and statistics package
for the Microsoft .NET framework. FFT features include:
- Real 1D and 2D Fast Fourier Transform.
- Complex 1D and 2D Fast Fourier Transform.
- Special code for factors 2, 3, 4, 5, 7 and 11.
- Real and complex convolution.
- Choice of managed and native (32bit and 64bit) implementations.
Fast Fourier Transform classes
The classes that implement the Fast Fourier Transform functionality live in the
Extreme.Mathematics.SignalProcessing namespace.
The principal classes are:
- FftProvider
Provides access to a specific FFT implementation.
- Fft
Represents a one-dimensional (1D) discrete Fourier Transform implementation.
- Fft2D
Represents a two-dimensional (2D) discrete Fourier Transform implementation.
- ComplexConjugateSignalMatrix
Represents a complex matrix that is the Fourier transform of a real matrix.
- ComplexConjugateSignalVector
Represents a complex vector that is the Fourier transform of a real vector.
The Signal Processing section of the
Mathematics Library User's Guide explains their use in detail.
Fast Fourier Transforms QuickStart Samples
Our library comes with a large number of QuickStart samples that help you
to get started in minutes. The following samples illustrate how to use
the FFT functionality:
Project |
Description |
View source |
FourierTransforms
Updated! |
Illustrates how to compute the discrete Fourier transform of real and complex signals. |
C# |
VB.NET |
F# |
Trial version
If you would like to evaluate the Extreme Optimization Numerical Libraries for .NET,
you can download a free, fully functional 60-day trial version.
In addition to the code samples discussed here, it includes about 70 other samples
as well as complete documentation for the entire library.
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