A .NET Standard library for computing the Fast Fourier Transform (FFT) of real or complex data
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$ dotnet add package FftSharpReadme
FftSharp is a collection of Fast Fourier Transform (FFT) tools for .NET. Tools are available to calculate forward and inverse FFT, generate and apply window functions, perform Mel Scaling, and more. See https://github.com/swharden/FftSharp for examples.
Quickstart: Power Spectrum Analysis
// Begin with sample data
int sampleRate = 48000;
double[] audio = FftSharp.SampleData.SampleAudio1();
// Window the audio signal
double[] window = FftSharp.Window.Hanning(audio.Length);
FftSharp.Window.ApplyInPlace(window, audio);
// Calculate power spectral density (dB)
double[] fftPower = FftSharp.Transform.FFTpower(audio);
// Calculate the frequencies for each data point
double[] freqs = FftSharp.Transform.FFTfreq(sampleRate, fftPower.Length);
Quickstart: Calculate the FFT of Complex Data
// Begin with sample data
double[] audio = FftSharp.SampleData.SampleAudio1();
// convert the data to an array of complex numbers
Complex[] buffer = new Complex[audio.Length];
for (int i=0; i<buffer.Length; i++)
buffer[i] = new Complex(audio[i], 0);
// compute the FFT in-place
FftSharp.Transform.FFT(buffer);