使用系统;使用MathWorks.MATLAB.NET.Utility;使用MathWorks.MATLAB.NET.Arrays;使用SpectraComp;名称空间MathWorks.Examples。SpectraApp{ /// 
 /// This application computes and plots the power spectral density of an input signal. /// 
 class SpectraCSApp { #region MAIN /// 
 /// The main entry point for the application. /// 
 [STAThread] static void Main(string[] args) { try { const double interval= 0.01; // The sampling interval const int numSamples= 1001; // The number of samples // Construct input data as sin(2*PI*15*t) + (sin(2*PI*40*t)) plus a // random signal. Duration= 10; Sampling interval= 0.01 MWNumericArray data= new MWNumericArray(MWArrayComplexity.Real, MWNumericType.Double, numSamples); Random random= new Random(); // Initialize data for (int idx= 1; idx <= numSamples; idx++) { double t= (idx-1)* interval; data[idx]= Math.Sin(2.0*Math.PI*15.0*t) + Math.Sin(2.0*Math.PI*40.0*t) + random.NextDouble(); } // Create a new signal analyzer object SignalAnalyzer signalAnalyzer= new SignalAnalyzer(); // Compute the fft and power spectral density for the data array MWArray[] argsOut= signalAnalyzer.computefft(3, data, interval); // Print the first twenty elements of each result array int numElements= 20; MWNumericArray resultArray= new MWNumericArray(MWArrayComplexity.Complex, MWNumericType.Double, numElements); for (int idx= 1; idx <= numElements; idx++) { resultArray[idx]= ((MWNumericArray)argsOut[0])[idx]; } Console.WriteLine("FFT:\n{0}\n", resultArray); for (int idx= 1; idx <= numElements; idx++) { resultArray[idx]= ((MWNumericArray)argsOut[1])[idx]; } Console.WriteLine("Frequency:\n{0}\n", resultArray); for (int idx= 1; idx <= numElements; idx++) { resultArray[idx]= ((MWNumericArray)argsOut[2])[idx]; } Console.WriteLine("Power Spectral Density:\n{0}", resultArray); // Create a new plotter object Plotter plotter= new Plotter(); // Plot the fft and power spectral density for the data array plotter.plotfft(argsOut[0], argsOut[1], argsOut[2]); Console.ReadLine(); // Wait for user to exit application } catch(Exception exception) { Console.WriteLine("Error: {0}", exception); } } #endregion } }

进口系统进口MathWorks.MATLAB.NET。进口工具MathWorks.MATLAB.NET。数组进口MathWorks.Examples SpectraComp名称空间。SpectraApp' 
 ' This application computes and plots the power spectral density of an input signal. ' 
 Class SpectraDemoApp #Region " MAIN " ' 
 ' The main entry point for the application. ' 
 Shared Sub Main(ByVal args() As String) Try Const interval As Double = 0.01 ' The sampling interval Const numSamples As Integer = 1001 ' The number of samples ' Construct input data as sin(2*PI*15*t) + (sin(2*PI*40*t)) plus a ' random signal. Duration= 10; Sampling interval= 0.01 Dim data As MWNumericArray = New MWNumericArray(MWArrayComplexity.Real, MWNumericType.Double, numSamples) Dim random As Random = New Random ' Initialize data Dim t As Double Dim idx As Integer For idx = 1 To numSamples t = (idx - 1) * interval data(idx) = New MWNumericArray(Math.Sin(2.0 * Math.PI * 15.0 * t) + Math.Sin(2.0 * Math.PI * 40.0 * t) + random.NextDouble()) Next idx ' Create a new signal analyzer object Dim signalAnalyzer As SignalAnalyzer = New SignalAnalyzer ' Compute the fft and power spectral density for the data array Dim argsOut() As MWArray = signalAnalyzer.computefft(3, data, MWArray.op_Implicit(interval)) ' Print the first twenty elements of each result array Dim numElements As Integer = 20 Dim resultArray As MWNumericArray = New MWNumericArray(MWArrayComplexity.Complex, MWNumericType.Double, numElements) For idx = 1 To numElements resultArray(idx) = (CType(argsOut(0), MWNumericArray))(idx) Next idx Console.WriteLine("FFT:{0}{1}{2}", Chr(10), resultArray, Chr(10)) For idx = 1 To numElements resultArray(idx) = (CType(argsOut(1), MWNumericArray))(idx) Next idx Console.WriteLine("Frequency:{0}{1}{2}", Chr(10), resultArray, Chr(10)) For idx = 1 To numElements resultArray(idx) = (CType(argsOut(2), MWNumericArray))(idx) Next idx Console.WriteLine("Power Spectral Density:{0}{1}{2}", Chr(10), resultArray, Chr(10)) ' Create a new plotter object Dim plotter As Plotter = New Plotter ' Plot the fft and power spectral density for the data array plotter.plotfft(argsOut(0), argsOut(1), argsOut(2)) Console.ReadLine() ' Wait for user to exit application Catch exception As Exception Console.WriteLine("Error: {0}", exception) End Try End Sub #End Region End Class End Namespace