Math.NET Numerics
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// <copyright file="DhtTest.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://mathnet.opensourcedotnet.info
//
// Copyright (c) 2009 Math.NET
//
// Permission is hereby granted, free of charge, to any person
// obtaining a copy of this software and associated documentation
// files (the "Software"), to deal in the Software without
// restriction, including without limitation the rights to use,
// copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following
// conditions:
//
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
// OTHER DEALINGS IN THE SOFTWARE.
// </copyright>
using System.Collections.Generic;
namespace MathNet.Numerics.UnitTests.IntegralTransformsTests
{
using System;
using System.Linq;
using MbUnit.Framework;
using IntegralTransforms;
using IntegralTransforms.Algorithms;
using Statistics;
[TestFixture]
public class DhtTest
{
private static Random _random = new Random();
private static double[] ProvideSamples(int count)
{
var samples = new double[count];
for (int i = 0; i < samples.Length; i++)
{
samples[i] = 1 - (2 * _random.NextDouble());
}
return samples;
}
[Test]
[Row(HartleyOptions.Default, FourierOptions.Default)]
[Row(HartleyOptions.AsymmetricScaling, FourierOptions.AsymmetricScaling)]
[Row(HartleyOptions.NoScaling, FourierOptions.NoScaling)]
public void NaiveMatchesDFT(HartleyOptions hartleyOptions, FourierOptions fourierOptions)
{
var samples = ProvideSamples(0x80);
var dht = new DiscreteHartleyTransform();
var hartley = dht.NaiveForward(samples, hartleyOptions);
var fourierComplex = Array.ConvertAll(samples, s => new Complex(s, s));
Transform.FourierForward(fourierComplex, fourierOptions);
var fourierReal = Array.ConvertAll(fourierComplex, s => s.Real);
AssertHelpers.AlmostEqualList(fourierReal, hartley, 1e-10);
}
[Test]
[Row(HartleyOptions.Default)]
[Row(HartleyOptions.AsymmetricScaling)]
public void NaiveIsReversible(HartleyOptions options)
{
var samples = ProvideSamples(0x80);
var work = new double[samples.Length];
samples.CopyTo(work, 0);
var dht = new DiscreteHartleyTransform();
work = dht.NaiveForward(work, options);
Assert.IsFalse(work.AlmostEqualListWithError(samples, 1e-10));
work = dht.NaiveInverse(work, options);
AssertHelpers.AlmostEqualList(samples, work, 1e-10);
}
}
}