public void TestExecuteRelationalOperationWithStaticValue()
{
var array1 = new[] { 1.0, 3.1, 2.4, 2.0 };
var result = WaveMath.ExecuteRelationalOperation(WaveMath.RelationalOperatorEnum.LessOrEqualsThan, array1, 2);
Assert.IsTrue(TestUtils.SequenceEquals(result, new[] { 1.0, 0.0, 0.0, 1.0 }));
}
public void TestSwitch3()
{
Assert.IsTrue(new double[] { 1, 2, 20 }.SequenceEqual(WaveMath.Switch(new double[] { 1, 2, 3 }, new double[] { 10, 12, 20 }, new double[] { 12, 20, 8 }, WaveMath.SwitchCriteriaEnum.BIsGreaterThanThreshold)));
Assert.IsTrue(new double[] { 1, 2, 20, 4 }.SequenceEqual(WaveMath.Switch(new double[] { 1, 2, 3, 4 }, new double[] { 10, 12, 20 }, new double[] { 12, 20, 8 }, WaveMath.SwitchCriteriaEnum.BIsGreaterThanThreshold)));
Assert.IsTrue(new double[] { 1, 2, 20, 8 }.SequenceEqual(WaveMath.Switch(new double[] { 1, 2, 3 }, new double[] { 10, 12, 20, 8 }, new double[] { 12, 20, 8 }, WaveMath.SwitchCriteriaEnum.BIsGreaterThanThreshold)));
Assert.IsTrue(new double[] { 10, 2, 3, 8 }.SequenceEqual(WaveMath.Switch(new double[] { 1, 2, 3 }, new double[] { 10, 12, 20, 8 }, new double[] { 8 }, WaveMath.SwitchCriteriaEnum.BIsGreaterThanThreshold)));
}
/// <summary>
/// Multilevel 1-D Discreete Wavelet Transform
/// </summary>
/// <param name="signal">The signal. Example: new Signal(5, 6, 7, 8, 1, 2, 3, 4)</param>
/// <param name="motherWavelet">The mother wavelet to be used. Example: CommonMotherWavelets.GetWaveletFromName("DB4")</param>
/// <param name="level">The depth-level to perform the DWT</param>
/// <param name="extensionMode">Signal extension mode</param>
/// <param name="convolutionMode">Defines what convolution function should be used</param>
/// <returns></returns>
public static List <DecompositionLevel> ExecuteDWT(Signal signal, MotherWavelet motherWavelet, int level, SignalExtension.ExtensionMode extensionMode = SignalExtension.ExtensionMode.SymmetricHalfPoint, ConvolutionModeEnum convolutionMode = ConvolutionModeEnum.ManagedFFT)
{
var levels = new List <DecompositionLevel>();
var approximation = (double[])signal.Samples.Clone();
var details = (double[])signal.Samples.Clone();
var realLength = signal.Samples.Length;
for (var i = 1; i <= level; i++)
{
var extensionSize = motherWavelet.Filters.DecompositionLowPassFilter.Length - 1;
approximation = SignalExtension.Extend(approximation, extensionMode, extensionSize);
details = SignalExtension.Extend(details, extensionMode, extensionSize);
approximation = WaveMath.Convolve(convolutionMode, approximation, motherWavelet.Filters.DecompositionLowPassFilter);
approximation = WaveMath.DownSample(approximation);
details = WaveMath.Convolve(convolutionMode, details, motherWavelet.Filters.DecompositionHighPassFilter);
details = WaveMath.DownSample(details);
realLength = realLength / 2;
levels.Add(new DecompositionLevel
{
Signal = signal,
Index = i - 1,
Approximation = approximation,
Details = details
});
details = (double[])approximation.Clone();
}
return(levels);
}
/// <summary>
/// Executes the block
/// </summary>
public override void Execute()
{
var inputNode1 = InputNodes[0].ConnectingNode as BlockOutputNode;
var inputNode2 = InputNodes[1].ConnectingNode as BlockOutputNode;
if (inputNode1 == null || inputNode1.Object == null || inputNode2 == null || inputNode2.Object == null)
{
return;
}
var outputs = new List <Signal>();
var signals = inputNode1.Object;
var filters = inputNode2.Object;
for (var i = 0; i < signals.Count; i++)
{
var signal = signals[i];
if (filters.Count == 0)
{
outputs.Add(signal.Clone());
continue;
}
var output = signal.Copy();
var filterIndex = i < filters.Count ? i : 0;
output.Samples = WaveMath.Convolve(ConvolutionMode, signal.Samples, filters[filterIndex].Samples, ReturnOnlyValid, 0, FFTMode);
outputs.Add(output);
}
OutputNodes[0].Object = outputs;
if (Cascade && OutputNodes[0].ConnectingNode != null)
{
OutputNodes[0].ConnectingNode.Root.Execute();
}
}
/// <summary>
/// Executes the block
/// </summary>
public override void Execute()
{
var inputNode = InputNodes[0].ConnectingNode as BlockOutputNode;
if (inputNode == null || inputNode.Object == null)
{
return;
}
OutputNodes[0].Object.Clear();
foreach (var inputSignal in inputNode.Object)
{
var ifft = (double[])inputSignal.Samples.Clone();
ManagedFFT.Instance.FFT(ref ifft, false, Mode);
ifft = WaveMath.DownSample(ifft, 2, true);
var signal = new Signal(ifft)
{
Start = 0,
Finish = ifft.Length - 1,
SamplingInterval = 1
};
OutputNodes[0].Object.Add(signal);
}
if (Cascade && OutputNodes[0].ConnectingNode != null)
{
OutputNodes[0].ConnectingNode.Root.Execute();
}
}
public void TestExecuteRelationalOperationWithPreviousSample()
{
var array1 = new[] { 1.0, 3.1, 2.4, 2.1 };
var result = WaveMath.ExecuteRelationalOperationWithPreviousSample(WaveMath.RelationalOperatorEnum.LessThan, array1);
Assert.IsTrue(TestUtils.SequenceEquals(result, new[] { 0.0, 0.0, 1.0, 1.0 }));
}
private void SetOperationDescription()
{
var resourceManager = new ResourceManager(typeof(Resources));
_name = resourceManager.GetString(Enum.GetName(typeof(WaveMath.OperationEnum), Operation));
_description = "y(x) = y(x) " + WaveMath.GetOperationSymbol(Operation) + " " + string.Format(System.Globalization.CultureInfo.InvariantCulture, "{0:0.####}", Value);
}
private static Signal RescaleSignal(Signal decomposition, Signal signal, DecompositionLevel level)
{
var rescaled = WaveMath.InterpolateCubic(decomposition, (uint)Math.Pow(2, level.Index + 1));
if (rescaled.SamplesCount < signal.SamplesCount)
{
var extensionSize = signal.SamplesCount - rescaled.SamplesCount;
int right;
var left = right = extensionSize / 2;
if (left + right != extensionSize)
{
left++;
}
SignalExtension.Extend(ref rescaled, SignalExtension.ExtensionMode.SmoothPadding0, left, right);
}
else
{
rescaled.Samples = SignalExtension.Deextend(rescaled.Samples, signal.SamplesCount);
}
rescaled.CustomPlot = null;
rescaled.Finish = signal.Finish;
rescaled.SamplingRate = signal.SamplingRate;
rescaled.SamplingInterval = signal.SamplingInterval;
return(rescaled);
}
public void CompareConvolveMethods()
{
const int signalLength = 32000;
const int filterLength = 128;
//Creates signal and filter by sine wave
var signalBlock = new GenerateSignalBlock {
TemplateName = "Sine", Start = 0, Finish = 1, SamplingRate = signalLength, IgnoreLastSample = true
};
signalBlock.Execute();
var signal = signalBlock.OutputNodes[0].Object[0].Samples;
var filter = new double[filterLength];
Array.Copy(signal, filter, filterLength);
//Run Normal convolution and show time
var stopWatch = new System.Diagnostics.Stopwatch();
stopWatch.Start();
var convolvedNormal = WaveMath.ConvolveNormal(signal, filter);
stopWatch.Stop();
Console.WriteLine("Normal Convolve {0} samples - {1} ms", convolvedNormal.Length, stopWatch.ElapsedMilliseconds);
//Run ManagedFFT convolution and show time
WaveMath.ConvolveManagedFFT(signal, filter);
stopWatch.Reset();
stopWatch.Start();
var convolvedFFT = WaveMath.ConvolveManagedFFT(signal, filter);
stopWatch.Stop();
Console.WriteLine("FFT Convolve {0} samples - {1} ms", convolvedFFT.Length, stopWatch.ElapsedMilliseconds);
}
public void TestMultiplyScalar()
{
var array1 = new[] { 1.2, 2.3, 3.4, 4.5 };
const double scalar = 1.1;
var expected = new[] { 1.32, 2.53, 3.74, 4.95 };
Assert.IsTrue(TestUtils.SequenceEquals(expected, WaveMath.Multiply(array1, scalar)));
}
public void TestAddScalar()
{
var array1 = new[] { 1.2, 2.3, 3.4, 4.5 };
const double scalar = 1.1;
var expected = new[] { 2.3, 3.4, 4.5, 5.6 };
Assert.IsTrue(TestUtils.SequenceEquals(expected, WaveMath.Add(array1, scalar)));
}
public void TestSubtractScalar()
{
var array1 = new[] { 1.2, 2.3, 3.4, 4.5 };
const double scalar = 1.1;
var expected = new[] { 0.1, 1.2, 2.3, 3.4 };
Assert.IsTrue(TestUtils.SequenceEquals(expected, WaveMath.Subtract(array1, scalar)));
}
public void TestLimitRange()
{
Assert.AreEqual(10, WaveMath.LimitRange(5, 10, 20));
Assert.AreEqual(200, WaveMath.LimitRange(500, 100, 200));
Assert.AreEqual(3000, WaveMath.LimitRange(3000, 1000, 3500));
Assert.AreEqual(4000, WaveMath.LimitRange(4000, 4000, 4001));
Assert.AreEqual(5000, WaveMath.LimitRange(5000, 4000, 5000));
Assert.AreEqual(6000, WaveMath.LimitRange(6000, 6000, 6000));
}
/// <summary>
/// Executes the block
/// </summary>
public override void Execute()
{
SetOperationDescription();
var inputNode1 = InputNodes[0].ConnectingNode as BlockOutputNode;
var inputNode2 = InputNodes[1].ConnectingNode as BlockOutputNode;
if (inputNode1 == null || inputNode1.Object.Count == 0)
{
return;
}
OutputNodes[0].Object.Clear();
for (var i = 0; i < inputNode1.Object.Count; i++)
{
var signal1 = inputNode1.Object[i];
if (Operand == OperandEnum.StaticValue)
{
OutputNodes[0].Object.Add(WaveMath.ExecuteRelationalOperation(Operation, signal1, ScalarValue));
}
else if (Operand == OperandEnum.Signal)
{
if (inputNode2 == null)
{
return;
}
Signal signal2;
if (i < inputNode2.Object.Count)
{
signal2 = inputNode2.Object[i];
}
else if (inputNode2.Object.Count > 0)
{
signal2 = inputNode2.Object[0];
}
else
{
OutputNodes[0].Object.Add(WaveMath.ExecuteRelationalOperation(Operation, signal1, 0));
continue;
}
OutputNodes[0].Object.Add(WaveMath.ExecuteRelationalOperation(Operation, signal1, signal2));
}
else if (Operand == OperandEnum.NextSample)
{
OutputNodes[0].Object.Add(WaveMath.ExecuteRelationalOperationWithNextSample(Operation, signal1));
}
else if (Operand == OperandEnum.PreviousSample)
{
OutputNodes[0].Object.Add(WaveMath.ExecuteRelationalOperationWithPreviousSample(Operation, signal1));
}
}
if (Cascade && OutputNodes[0].ConnectingNode != null)
{
OutputNodes[0].ConnectingNode.Root.Execute();
}
}
public void TestMultiplyArrays()
{
var array1 = new[] { 1.2, 2.3, 3.4, 4.5 };
var array2 = new[] { 1.1, 2.2, 3.3, 1 };
var expected = new[] { 1.32, 5.06, 11.22, 4.5 };
Assert.IsTrue(TestUtils.SequenceEquals(expected, WaveMath.GetOperationFunction(WaveMath.OperationEnum.Multiply)(array1, array2)));
Assert.IsTrue(TestUtils.SequenceEquals(expected, WaveMath.Multiply(array2, array1)));
Assert.IsTrue(TestUtils.SequenceEquals(expected, WaveMath.Multiply(array1, array2.SubArray(3))));
}
public void TestDivideScalar()
{
var array1 = new[] { 1.2, 2.3, 3.4, 4.5 };
const double scalar = 1.1;
var expected = new[] { 1.09090909, 2.09090909, 3.09090909, 4.09090909 };
Assert.IsTrue(TestUtils.SequenceEquals(expected, WaveMath.Divide(array1, scalar)));
expected = new[] { 0.0, 0.0, 0.0, 0.0 };
Assert.IsTrue(TestUtils.SequenceEquals(expected, WaveMath.Divide(array1, 0)));
}
public void TestExecuteLogicOperationWithSignals()
{
var signal1 = new Signal(new[] { 0.0, 0.0, 45.1, 10.2 });
var signal2 = new Signal(new[] { 0.0, 20.0, 0.1, 15.1 });
var signal3 = new Signal(new double[] { });
var signal4 = new Signal(null);
Assert.IsTrue(TestUtils.SequenceEquals(new[] { 0.0, 1.0, 1.0, 1.0 }, WaveMath.ExecuteLogicOperation(WaveMath.LogicalOperationEnum.Or, signal1, signal2).Samples));
Assert.IsTrue(TestUtils.SequenceEquals(new[] { 0.0, 1.0, 1.0, 1.0 }, WaveMath.ExecuteLogicOperation(WaveMath.LogicalOperationEnum.Or, signal1, signal2, signal3, signal4).Samples));
Assert.IsNull(WaveMath.ExecuteLogicOperation(WaveMath.LogicalOperationEnum.Or, null, signal3, signal4));
}
public void TestShift()
{
var signal = new Signal {
Start = 3, Finish = 10
};
WaveMath.Shift(ref signal, -2.1);
Assert.AreEqual(0.9d, signal.Start);
Assert.AreEqual(7.9d, signal.Finish);
}
public void TestExecuteRelationalOperationWithSignals()
{
var signal1 = new Signal(new[] { 0.0, 0.0, 45.1, 10.2 });
var signal2 = new Signal(new[] { 0.0, 20.0, 0.1, 15.1 });
var signal3 = new Signal(new double[] { });
var signal4 = new Signal(null);
Assert.IsTrue(TestUtils.SequenceEquals(new[] { 1.0, 1.0, 0.0, 1.0 }, WaveMath.ExecuteRelationalOperation(WaveMath.RelationalOperatorEnum.LessOrEqualsThan, signal1, signal2).Samples));
Assert.IsTrue(TestUtils.SequenceEquals(new[] { 1.0, 1.0, 0.0, 1.0 }, WaveMath.ExecuteRelationalOperation(WaveMath.RelationalOperatorEnum.LessOrEqualsThan, signal1, signal2, signal3, signal4).Samples));
Assert.IsNull(WaveMath.ExecuteRelationalOperation(WaveMath.RelationalOperatorEnum.GreaterThan, null, signal3, signal4));
}
public void TestGetAccumulatedEnergy()
{
var input = new double[] { 4, 2, 1, 5, 1, 5, 8, 9, 3 };
var expected = 226d;
Assert.AreEqual(expected, WaveMath.GetAccumulatedEnergy(input));
input = new double[] { };
expected = 0d;
Assert.AreEqual(expected, WaveMath.GetAccumulatedEnergy(input));
}
public void TestGetRelationalOperationFunctionEqualsTo()
{
var func = WaveMath.GetRelationalOperationFunction(WaveMath.RelationalOperatorEnum.EqualsTo);
Assert.AreEqual(1, func(0, 0));
Assert.AreEqual(0, func(0, 1));
Assert.AreEqual(0, func(1, 0));
Assert.AreEqual(1, func(1, 1));
Assert.AreEqual(0, func(0, -1));
Assert.AreEqual(0, func(-1, 0));
Assert.AreEqual(1, func(-1, -1));
}
public void TestAddArrays()
{
var array1 = new[] { 1.2, 2.3, 3.4, 4.5 };
var array2 = new[] { 1.1, 2.2, 3.3, 0 };
var expected = new[] { 2.3, 4.5, 6.7, 4.5 };
var expected2 = new[] { 2.3, 4.5, 6.7, 0 };
Assert.IsTrue(TestUtils.SequenceEquals(expected, WaveMath.GetOperationFunction(WaveMath.OperationEnum.Sum)(array1, array2)));
Assert.IsTrue(TestUtils.SequenceEquals(expected, WaveMath.Add(array2, array1)));
Assert.IsTrue(TestUtils.SequenceEquals(expected, WaveMath.Add(array1, array2.SubArray(3))));
Assert.IsTrue(TestUtils.SequenceEquals(expected2, WaveMath.Add(array1.SubArray(3), array2)));
}
public void TestGetRelationalOperationFunctionGreaterOrEqualsThan()
{
var func = WaveMath.GetRelationalOperationFunction(WaveMath.RelationalOperatorEnum.GreaterOrEqualsThan);
Assert.AreEqual(1, func(0, 0));
Assert.AreEqual(0, func(0, 1));
Assert.AreEqual(1, func(1, 0));
Assert.AreEqual(1, func(1, 1));
Assert.AreEqual(1, func(0, -1));
Assert.AreEqual(0, func(-1, 0));
Assert.AreEqual(1, func(-1, -1));
}
public void TestGetLogicalOperationFunctionNot()
{
var logicalNot = WaveMath.GetLogicalOperationFunction(WaveMath.LogicalOperationEnum.Not);
Assert.AreEqual(1, logicalNot(0, 0)); //The second parameter is not used...
Assert.AreEqual(1, logicalNot(0, 1));
Assert.AreEqual(0, logicalNot(1, 0));
Assert.AreEqual(0, logicalNot(1, 1));
Assert.AreEqual(1, logicalNot(0, -1));
Assert.AreEqual(0, logicalNot(-1, 0));
Assert.AreEqual(0, logicalNot(-1, -1));
}
public void TestGetLogicalOperationFunctionAnd()
{
var logicalAnd = WaveMath.GetLogicalOperationFunction(WaveMath.LogicalOperationEnum.And);
Assert.AreEqual(0, logicalAnd(0, 0));
Assert.AreEqual(0, logicalAnd(0, 1));
Assert.AreEqual(0, logicalAnd(1, 0));
Assert.AreEqual(1, logicalAnd(1, 1));
Assert.AreEqual(0, logicalAnd(0, -1));
Assert.AreEqual(0, logicalAnd(-1, 0));
Assert.AreEqual(1, logicalAnd(-1, -1));
}
public void TestGetLogicalOperationFunctionNotXor()
{
var logicalNotXor = WaveMath.GetLogicalOperationFunction(WaveMath.LogicalOperationEnum.NotXor);
Assert.AreEqual(1, logicalNotXor(0, 0));
Assert.AreEqual(0, logicalNotXor(0, 1));
Assert.AreEqual(0, logicalNotXor(1, 0));
Assert.AreEqual(1, logicalNotXor(1, 1));
Assert.AreEqual(0, logicalNotXor(0, -1));
Assert.AreEqual(0, logicalNotXor(-1, 0));
Assert.AreEqual(1, logicalNotXor(-1, -1));
}
public void TestExecuteLogicOperation()
{
var x1 = new[] { 0.0, 0.0, 45.1, 10.2 };
var x2 = new[] { 0.0, 20.0, 0.1, 15.1 };
Assert.IsTrue(TestUtils.SequenceEquals(new[] { 0.0, 1.0, 1.0, 1.0 }, WaveMath.ExecuteLogicOperation(WaveMath.LogicalOperationEnum.Or, x1, x2)));
x1 = new[] { 0.0, 0.0, 45.1, 10.2, 1.0 };
x2 = new[] { 0.0, 20.0, 0.1, 15.1 };
Assert.IsTrue(TestUtils.SequenceEquals(new[] { 0.0, 1.0, 1.0, 1.0, 0.0 }, WaveMath.ExecuteLogicOperation(WaveMath.LogicalOperationEnum.Or, x1, x2)));
Assert.IsTrue(TestUtils.SequenceEquals(new[] { 0.0, 1.0, 1.0, 1.0, 0.0 }, WaveMath.ExecuteLogicOperation(WaveMath.LogicalOperationEnum.Or, x2, x1)));
}
public void TestSubtractArrays()
{
var array1 = new[] { 1.2, 2.2, 3.4, 4.5 };
var array2 = new[] { 1.1, 2.3, 3.3, 0 };
var expected1 = new[] { 0.1, -0.1, 0.1, 4.5 };
var expected2 = new[] { -0.1, 0.1, -0.1, -4.5 };
var expected3 = new[] { -0.1, 0.1, -0.1, 0 };
Assert.IsTrue(TestUtils.SequenceEquals(expected1, WaveMath.GetOperationFunction(WaveMath.OperationEnum.Subtract)(array1, array2)));
Assert.IsTrue(TestUtils.SequenceEquals(expected2, WaveMath.Subtract(array2, array1)));
Assert.IsTrue(TestUtils.SequenceEquals(expected1, WaveMath.Subtract(array1, array2.SubArray(3))));
Assert.IsTrue(TestUtils.SequenceEquals(expected3, WaveMath.Subtract(array1.SubArray(3), array2)));
}
internal Disturbance(int start, int finish, int detailsLength, int signalLength)
{
Start = start;
Finish = finish;
SignalStart = (int)WaveMath.Scale(start, 0, detailsLength, 0, signalLength) + 1;
SignalFinish = (int)WaveMath.Scale(finish, 0, detailsLength, 0, signalLength) + 1;
if (start % 2 != 0 && finish % 2 != 0)
{
SignalFinish--;
}
}
public void TestInvert()
{
var samples = new double[] { -1, 2, 3, -4 };
var output = WaveMath.Invert(samples);
Assert.IsTrue(output.SequenceEqual(new double[] { -4, 3, 2, -1 }));
samples = new double[] { };
output = WaveMath.Invert(samples);
Assert.IsTrue(output.SequenceEqual(new double[] { }));
output = WaveMath.Invert(null);
Assert.IsNull(output);
}