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