Exemplo n.º 1
0
        /// <summary>
        /// Filtracja sygnału delta
        /// </summary>
        private void initialize_Sinc()
        {
            signal1             = new AnalogSignal(1, 100, 1000, 0.5).GenerateSincSignal(5);
            courseGraph1        = new CourseGraph(10, 24, 220, 500, "Sygnał Sinc");
            courseGraph1.Signal = signal1;
            courseGraph1.Autoscale();
            courseGraph1.DrawGraph();


            spectrumGraph1        = new SpectrumGraph(520, 24, 220, 500, "Widmo Sinc");
            spectrumGraph1.Signal = signal1;
            spectrumGraph1.DFT();
            spectrumGraph1.Autoscale();
            spectrumGraph1.DrawGraph();

            signal2             = new AnalogSignal(1, 100, 1000, 0.5).GenerateDelta();
            courseGraph2        = new CourseGraph(10, 254, 220, 500, "Sygnał Delta");
            courseGraph2.Signal = signal2;
            courseGraph2.Autoscale();
            courseGraph2.DrawGraph();


            spectrumGraph2        = new SpectrumGraph(520, 254, 220, 500, "Widmo delta");
            spectrumGraph2.Signal = signal2;
            spectrumGraph2.DFT();
            spectrumGraph2.Autoscale();
            spectrumGraph2.DrawGraph();

            signal3             = new AnalogSignal(1, 100, 1000, 0.5).Weave(signal2, signal1);
            courseGraph3        = new CourseGraph(10, 484, 220, 500, "Przebieg odpowiedzi impulsowej");
            courseGraph3.Signal = signal3;
            courseGraph3.Autoscale();
            courseGraph3.DrawGraph();


            spectrumGraph3        = new SpectrumGraph(520, 484, 220, 500, "Widmo odpowiedzi impulsowej");
            spectrumGraph3.Signal = signal3;
            spectrumGraph3.DFT();
            spectrumGraph3.Autoscale();
            spectrumGraph3.DrawGraph();
        }
Exemplo n.º 2
0
        /// <summary>
        /// Filtracja szumu
        /// </summary>
        private void initialize_FilteringOfNoise()
        {
            signal1             = new AnalogSignal(1, 300, 1000, 0.5).GenerateSincSignal(19);
            courseGraph1        = new CourseGraph(10, 24, 220, 500, "Sygnał Sinc");
            courseGraph1.Signal = signal1;
            courseGraph1.Autoscale();
            courseGraph1.DrawGraph();

            spectrumGraph1        = new SpectrumGraph(520, 24, 220, 500, "Widmo Sinc");
            spectrumGraph1.Signal = signal1;
            spectrumGraph1.DFT();
            spectrumGraph1.Autoscale();
            spectrumGraph1.DrawGraph();

            signal2             = new AnalogSignal(1, 100, 1000, 0.5).GenerateNoise(0.5);
            courseGraph2        = new CourseGraph(10, 254, 220, 500, "Sygnał Delta");
            courseGraph2.Signal = signal2;
            courseGraph2.Autoscale();
            courseGraph2.DrawGraph();


            spectrumGraph2        = new SpectrumGraph(520, 254, 220, 500, "Widmo delta");
            spectrumGraph2.Signal = signal2;
            spectrumGraph2.DFT();
            spectrumGraph2.Autoscale();
            spectrumGraph2.DrawGraph();

            signal3             = new AnalogSignal(1, 100, 1000, 0.5).Weave(signal1, signal2);
            courseGraph3        = new CourseGraph(10, 484, 220, 500, "Przebieg po filtracji");
            courseGraph3.Signal = signal3;
            courseGraph3.Autoscale();
            courseGraph3.DrawGraph();


            spectrumGraph3        = new SpectrumGraph(520, 484, 220, 500, "Widmo po filtracji");
            spectrumGraph3.Signal = signal3;
            spectrumGraph3.DFT();
            spectrumGraph3.Autoscale();
            spectrumGraph3.DrawGraph();
        }
Exemplo n.º 3
0
        private void initialize_generateFilter_1()
        {
            signal1             = new AnalogSignal(1, 300, 1000, 0.5).GenerateFilter1();
            courseGraph1        = new CourseGraph(10, 24, 220, 500, "Przebieg charakterystyki");
            courseGraph1.Signal = signal1;
            courseGraph1.Autoscale();
            courseGraph1.DrawGraph();

            spectrumGraph1        = new SpectrumGraph(520, 24, 220, 700, "Odpowiedź filtru");
            spectrumGraph1.Signal = signal1;
            spectrumGraph1.DFT();
            spectrumGraph1.Autoscale();
            spectrumGraph1.DrawGraph();


            signal2             = new AnalogSignal(1, 100, 1000, 0.5).GenerateNoise(0.5);
            courseGraph2        = new CourseGraph(10, 254, 220, 500, "Szum");
            courseGraph2.Signal = signal2;
            courseGraph2.Autoscale();
            courseGraph2.DrawGraph();

            spectrumGraph2        = new SpectrumGraph(520, 254, 220, 500, "Widmo szumu");
            spectrumGraph2.Signal = signal2;
            spectrumGraph2.DFT();
            spectrumGraph2.Autoscale();
            spectrumGraph2.DrawGraph();


            signal3             = new AnalogSignal(1, 100, 1000, 0.5).Weave(signal1, signal2);
            courseGraph3        = new CourseGraph(10, 484, 220, 500, "Przebieg po filtracji");
            courseGraph3.Signal = signal3;
            courseGraph3.Autoscale();
            courseGraph3.DrawGraph();

            spectrumGraph3        = new SpectrumGraph(520, 484, 220, 500, "Widmo po filtracji");
            spectrumGraph3.Signal = signal3;
            spectrumGraph3.DFT();
            spectrumGraph3.Autoscale();
            spectrumGraph3.DrawGraph();
        }
        private void editSignal(int item, double amplitude, double frequency, double samplingFrequency, double length, int accuracyOfApproximation)
        {
            graphPanel.Controls.Remove(signalGraph);
            String label = "";

            signal = new AnalogSignal(amplitude, frequency, samplingFrequency, length);
            switch (item)
            {
            case 0:
                label = "Sinusoida";
                signal.GenerateSinusSignal();
                break;

            case 1:
                label = "Piłokształtny";
                signal.GenerateSawSignal(accuracyOfApproximation);
                break;

            case 2:
                label = "Trójkątny";
                signal.GenerateTriangleSignal(accuracyOfApproximation);
                break;

            case 3:
                label = "Prostokątny";
                signal.GenerateSquareSignal(accuracyOfApproximation);
                break;

            case 4:
                label = "Szum";
                signal.GenerateNoise(accuracyOfApproximation);
                break;
            }
            signalGraph        = new CourseGraph(3, 3, 150, 500, label);
            signalGraph.Signal = signal;
            signalGraph.Autoscale();
            signalGraph.DrawGraph();

            graphPanel.Controls.Add(signalGraph);
        }
        /// <summary>
        /// Funkcja realuzująca demodulację sygnałów zmodulowanych amplitudowo i fazowo
        /// </summary>
        /// <param name="carrier">Sygnał nośny - kod</param>
        /// <param name="timeOfBit">Czas trwania jednego bitu</param>
        /// <param name="limit">Granica komparatora</param>
        /// <param name="unipolar">Określa, czy iloczyn sygnałów jest jednobiegunowy</param>
        /// <returns>Zwraca ciąg bitów zawartych w sygnale nośnym</returns>
        public DigitalSignal demodulationASKandPSK(AnalogSignal carrier, double timeOfBit, long limit, bool unipolar)
        {
            int numberOfBit;
            int lengthOfWord = 8;

            long [] heuristic = new long[lengthOfWord];

            analogSignal = new AnalogSignal(carrier.Amplitude, carrier.Frequency, carrier.SamplingFrequency, carrier.Length);

            //Generowanie sygnału
            analogSignal.GenerateSinusSignal();

            //Pomnożenie sygnału nośnego przez  informację
            AnalogSignal multi = analogSignal * carrier;
            string       word  = "";

            for (int i = 0; i < carrier.LengthOfBuffer; i++)
            {
                numberOfBit             = (int)(i / carrier.SamplingFrequency / timeOfBit);
                heuristic[numberOfBit] += (long)multi.Course[i];
            }
            for (int i = 0; i < lengthOfWord; i++)
            {
                if (heuristic[i] > limit && unipolar) //jeżeli sygnał jest jednobiegunowy
                {
                    word += "1";
                }
                else if (heuristic[i] < limit && !unipolar) // jeżeli sygnał jest dwubiegunowy
                {
                    word += "1";
                }
                else
                {
                    word += "0";
                }
            }
            return(new DigitalSignal(word, carrier.SamplingFrequency, timeOfBit));
        }
Exemplo n.º 6
0
        /// <summary>
        /// Funkcja inicjalizujaca sygnaly i ich wykresy dla lab5 dla demodulacji ASK
        /// </summary>
        private void initialize_Lab5_ASK()
        {
            Demodulation demodul = new Demodulation();
            string       word    = "10101011";

            courseGraph1 = new CourseGraph(10, 24, 150, 500, "Nośna");
            courseGraph2 = new CourseGraph(10, 184, 150, 500, word);
            courseGraph3 = new CourseGraph(10, 344, 150, 500, "Kod ASK");

            signal1 = new AnalogSignal(7, 32.5, 1000, 0.5);  // nośna
            digital = new DigitalSignal(word, 1000, 0.0625); //informacja

            // s. nośny
            signal1.GenerateSinusSignal();

            // s. zmodulowany
            AnalogSignal ASK = new AnalogSignal(signal1);

            ASK.ASK(signal1, digital);

            // Rysowanie przebiegów:

            // Sygnał nośny
            courseGraph1.Signal = signal1;
            courseGraph1.Autoscale();
            courseGraph1.DrawGraph();

            //sygnal zmodulowany ASK
            courseGraph2.Signal = ASK;
            courseGraph2.Autoscale();
            courseGraph2.DrawGraph();

            //Kod cyfrowy
            courseGraph3.Signal = demodul.demodulationASKandPSK(ASK, 0.0625, 200, true);  // demodulacja
            courseGraph3.Autoscale();
            courseGraph3.DrawGraph();
        }
Exemplo n.º 7
0
        /// <summary>
        /// Funkcja inicjalizujaca sygnaly i ich wykresy dla lab5 dla demodulacji PSK
        /// </summary>
        private void initialize_Lab5_PSK()
        {
            Demodulation demodul = new Demodulation();

            string word = "10101011";

            courseGraph1 = new CourseGraph(10, 24, 150, 500, word);
            courseGraph2 = new CourseGraph(10, 184, 150, 500, "Kod PSK");
            courseGraph3 = new CourseGraph(10, 344, 150, 500, "Kod cyfrowy");

            digital = new DigitalSignal(word, 1000, 0.0625); //informacja


            // s. zmodulowany
            AnalogSignal PSK = new AnalogSignal(10, 20, 1000, 0.5).GenerateSinusSignal();

            PSK.PSK(digital);


            // Rysowanie przebiegów:

            // Sygnał nośny
            courseGraph1.Signal = digital;
            courseGraph1.Limit(5000);
            courseGraph1.DrawGraph();

            //sygnal zmodulowany ASK
            courseGraph2.Signal = PSK;
            courseGraph2.Limit(5000);
            courseGraph2.DrawGraph();

            //Kod cyfrowy
            courseGraph3.Signal = demodul.demodulationASKandPSK(PSK, 0.0625, 200, false); //demodualcja
            courseGraph3.Limit(5000);
            courseGraph3.DrawGraph();
        }
Exemplo n.º 8
0
        /// <summary>
        /// Funkcja inicjalizujaca sygnaly i ich wykresy dla lab1 i lab2
        /// </summary>
        private void initialize_Lab1_Lab2()
        {
            // inicjalizacja obiektow klasy wykresow przebiegu sygnalu
            courseGraph1 = new CourseGraph(10, 24, 150, 500, "Sygnał 1.");
            courseGraph2 = new CourseGraph(10, 184, 150, 500, "Sygnał 2.");
            courseGraph3 = new CourseGraph(10, 344, 150, 500, "Suma");
            courseGraph4 = new CourseGraph(10, 504, 150, 500, "Iloczyn");

            // inicjalizacja obiektow klasy wykresow widma
            spectrumGraph1 = new SpectrumGraph(520, 24, 150, 500, "Sygnał 1.");
            spectrumGraph2 = new SpectrumGraph(520, 184, 150, 500, "Sygnał 2.");
            spectrumGraph3 = new SpectrumGraph(520, 344, 150, 500, "Suma");
            spectrumGraph4 = new SpectrumGraph(520, 504, 150, 500, "Iloczyn");

            // inicjalizacja obiektow klasy sygnalow
            signal1 = new AnalogSignal(20, 100, 1000, 0.5);
            signal2 = new AnalogSignal(50, 10, 1000, 0.5);

            // Generowanie sygnalow na podstawie
            // podanych w konstruktorze parametrow
            signal1.GenerateSinusSignal();
            signal2.GenerateSinusSignal();

            // rysowanie wykresow sygnalu 1.
            courseGraph1.Signal = signal1;
            courseGraph1.Autoscale();
            courseGraph1.DrawGraph();

            spectrumGraph1.Signal = signal1;
            spectrumGraph1.Autoscale();
            spectrumGraph1.DFT();
            spectrumGraph1.DrawGraph();

            // rysowanie wykresow sygnalu 2.
            courseGraph2.Signal = signal2;
            courseGraph2.Autoscale();
            courseGraph2.DrawGraph();

            spectrumGraph2.Signal = signal2;
            spectrumGraph2.Autoscale();
            spectrumGraph2.DFT();
            spectrumGraph2.DrawGraph();

            // rysowanie wykresow sumy sygnalow
            Signal sumOfSignals = signal1 + signal2;

            courseGraph3.Signal = sumOfSignals;
            courseGraph3.Autoscale();
            courseGraph3.DrawGraph();

            spectrumGraph3.Signal = sumOfSignals;
            spectrumGraph3.Autoscale();
            spectrumGraph3.DFT();
            spectrumGraph3.DrawGraph();


            // rysowanie wykresow iloczynu sygnalow
            Signal productOfSignals = signal1 * signal2;

            courseGraph4.Signal = productOfSignals;
            courseGraph4.Autoscale();
            courseGraph4.DrawGraph();

            spectrumGraph4.Signal = productOfSignals;
            spectrumGraph4.Autoscale();
            spectrumGraph4.DFT();
            spectrumGraph4.DrawGraph();
        }
Exemplo n.º 9
0
        /// <summary>
        /// Funkcja inicjalizujaca sygnaly i ich wykresy dla lab3
        /// </summary>
        private void initialize_Lab3()
        {
            // inicjalizacja obiektow klasy wykresow przebiegu sygnalu
            courseGraph1 = new CourseGraph(10, 24, 150, 500, "Nośna");
            courseGraph2 = new CourseGraph(10, 184, 150, 500, "Sygnał informacyjny");
            courseGraph3 = new CourseGraph(10, 344, 150, 500, "AM");
            courseGraph4 = new CourseGraph(10, 504, 150, 500, "PM");

            // inicjalizacja obiektow klasy wykresow widma
            spectrumGraph1 = new SpectrumGraph(520, 24, 150, 500, "Nośna");
            spectrumGraph2 = new SpectrumGraph(520, 184, 150, 500, "Sygnał informacyjny");
            spectrumGraph3 = new SpectrumGraph(520, 344, 150, 500, "AM");
            spectrumGraph4 = new SpectrumGraph(520, 504, 150, 500, "PM");

            // inicjalizacja obiektow klasy sygnalow
            signal1 = new AnalogSignal(50, 100, 1000, 0.5); // nośna
            signal2 = new AnalogSignal(50, 10, 1000, 0.5);  // sygnał informacyjny

            // Generowanie sygnalow na podstawie
            // podanych w konstruktorze parametrow
            signal1.GenerateSinusSignal();
            signal2.GenerateSinusSignal();

            // rysowanie wykresow sygnalu 1.
            courseGraph1.Signal = signal1;
            courseGraph1.DrawGraph();

            spectrumGraph1.Signal = signal1;
            spectrumGraph1.Limit(2);
            spectrumGraph1.DrawGraph();

            // rysowanie wykresow sygnalu 2.
            courseGraph2.Signal = signal2;
            courseGraph2.DrawGraph();

            spectrumGraph2.Signal = signal2;
            spectrumGraph2.Limit(2);
            spectrumGraph2.DrawGraph();

            // rysowanie wykresow AM
            AnalogSignal AM = new AnalogSignal();

            AM.AmplitudeModulation(signal1, signal2, 0.01);

            courseGraph3.Signal = AM;
            courseGraph3.Limit(1500);
            courseGraph3.DrawGraph();

            spectrumGraph3.Signal = AM;
            spectrumGraph3.Limit(15);
            spectrumGraph3.DrawGraph();

            //rysowanie wykresow PW
            AnalogSignal PM = new AnalogSignal();

            PM.PhaseModulation(signal1, signal2, 0.5);

            courseGraph4.Signal = PM;
            courseGraph4.DrawGraph();

            spectrumGraph4.Signal = PM;
            spectrumGraph4.Limit(2);
            spectrumGraph4.DrawGraph();
        }
Exemplo n.º 10
0
        /// <summary>
        /// Funkcja inicjalizująca obiekty sygnałów do wybranego labolatorium
        /// </summary>
        private void initialize(int lab)
        {
            Controls.Remove(courseGraph1);
            Controls.Remove(courseGraph2);
            Controls.Remove(courseGraph3);
            Controls.Remove(courseGraph4);

            Controls.Remove(spectrumGraph1);
            Controls.Remove(spectrumGraph2);
            Controls.Remove(spectrumGraph3);
            Controls.Remove(spectrumGraph4);

            courseGraph1 = null;
            courseGraph2 = null;
            courseGraph3 = null;
            courseGraph4 = null;

            spectrumGraph1 = null;
            spectrumGraph2 = null;
            spectrumGraph3 = null;
            spectrumGraph4 = null;

            signal1 = null;
            signal2 = null;
            signal3 = null;

            digital = null;

            ft = new FourierTransform();

            this.Controls.Clear();

            switch (lab)
            {
            case 1:
                initialize_Lab1_Lab2();
                break;

            case 2:
                initialize_Lab3();
                break;

            case 3:
                initialize_Lab4_ASK();
                break;

            case 4:
                initialize_Lab4_FSK_PSK();
                break;

            case 5:
                initialize_Lab5_ASK();
                break;

            case 6:
                initialize_Lab5_PSK();
                break;

            case 7:
                initialize_Lab5_FSK();
                break;

            case 8:
                initialize_SquareTriangleSaw();
                break;

            case 9:
                initialize_MSE();
                break;

            case 10:
                initialize_MSEPlot();
                break;

            case 11:
                initialize_Correlation_1();
                break;

            case 12:
                initialize_Correlation_2();
                break;

            case 13:
                initialize_IDFT();
                break;

            case 14:
                initialize_Sinc();
                break;

            case 15:
                initialize_FilteringOfNoise();
                break;

            case 16:
                initialize_generateFilter_1();
                break;

            case 17:
                initialize_generateFilter_2();
                break;

            case 18:
                initialize_generateFilter_3();
                break;

            case 19:
                initialize_CDMA();
                break;

            default:
                initialize_Lab1_Lab2();
                break;
            }
            Controls.Add(courseGraph1);
            Controls.Add(courseGraph2);
            Controls.Add(courseGraph3);
            Controls.Add(courseGraph4);

            Controls.Add(spectrumGraph1);
            Controls.Add(spectrumGraph2);
            Controls.Add(spectrumGraph3);
            Controls.Add(spectrumGraph4);

            InitializeComponent();
        }