//
// Math.NET Numerics, part of the Math.NET Project
// http://mathnet.opensourcedotnet.info
//
// Copyright (c) 2009 Math.NET
//
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// Software is furnished to do so, subject to the following
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// The above copyright notice and this permission notice shall be
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// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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namespace MathNet.Numerics.IntegralTransforms
{
using Algorithms;
///
/// Integral Transforms (including FFT).
///
public static class Transform
{
///
/// Shared internal DET algorithm.
///
private static readonly DiscreteFourierTransform _dft = new DiscreteFourierTransform();
///
/// Applies the forward Fast Fourier Transform (FFT) to arbitrary-length sample vectors.
///
/// Sample vector, where the FFT is evaluated in place.
public static void FourierForward(Complex[] samples)
{
_dft.BluesteinForward(samples, FourierOptions.Default);
}
///
/// Applies the forward Fast Fourier Transform (FFT) to arbitrary-length sample vectors.
///
/// Sample vector, where the FFT is evaluated in place.
/// Fourier Transform Convention Options.
public static void FourierForward(Complex[] samples, FourierOptions options)
{
_dft.BluesteinForward(samples, options);
}
///
/// Applies the inverse Fast Fourier Transform (iFFT) to arbitrary-length sample vectors.
///
/// Sample vector, where the FFT is evaluated in place.
public static void FourierInverse(Complex[] samples)
{
_dft.BluesteinInverse(samples, FourierOptions.Default);
}
///
/// Applies the inverse Fast Fourier Transform (iFFT) to arbitrary-length sample vectors.
///
/// Sample vector, where the FFT is evaluated in place.
/// Fourier Transform Convention Options.
public static void FourierInverse(Complex[] samples, FourierOptions options)
{
_dft.BluesteinInverse(samples, options);
}
}
}