mathnet-numerics/src/Numerics/IntegralTransforms/Algorithms/DiscreteHartleyTransform.Options.cs

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namespace MathNet.Numerics.IntegralTransforms.Algorithms
{
    using System;

    /// <summary>
    /// Fast (FHT) Implementation of the Discrete Hartley Transform (DHT).
    /// </summary>
    public partial class DiscreteHartleyTransform
    {
        /// <summary>
        /// Rescale FFT-the resulting vector according to the provided convention options.
        /// </summary>
        /// <param name="options">Fourier Transform Convention Options.</param>
        /// <param name="samples">Sample Vector.</param>
        private static void ForwardScaleByOptions(HartleyOptions options, double[] samples)
        {
            if ((options & HartleyOptions.NoScaling) == HartleyOptions.NoScaling ||
                (options & HartleyOptions.AsymmetricScaling) == HartleyOptions.AsymmetricScaling)
            {
                return;
            }

            var scalingFactor = Math.Sqrt(1.0 / samples.Length);
            for (int i = 0; i < samples.Length; i++)
            {
                samples[i] *= scalingFactor;
            }
        }

        /// <summary>
        /// Rescale the iFFT-resulting vector according to the provided convention options.
        /// </summary>
        /// <param name="options">Fourier Transform Convention Options.</param>
        /// <param name="samples">Sample Vector.</param>
        private static void InverseScaleByOptions(HartleyOptions options, double[] samples)
        {
            if ((options & HartleyOptions.NoScaling) == HartleyOptions.NoScaling)
            {
                return;
            }

            var scalingFactor = 1.0 / samples.Length;
            if ((options & HartleyOptions.AsymmetricScaling) != HartleyOptions.AsymmetricScaling)
            {
                scalingFactor = Math.Sqrt(scalingFactor);
            }

            for (int i = 0; i < samples.Length; i++)
            {
                samples[i] *= scalingFactor;
            }
        }
    }
}