private void button1_Click(object sender, EventArgs e)
        {
            data   data_object = new data();
            string s           = textBox1.Text;
            string s2          = textBox2.Text;

            y_axis_2_signal_1 = data_object.read_data_file(s);
            y_axis_2_signal_2 = data_object.read_data_file(s2);

            for (int i = 0; i < y_axis_2_signal_1.Count; i++)
            {
                y_axis_signal_merge.Add(y_axis_2_signal_1[i] + y_axis_2_signal_2[i]);
            }
        }
Example #2
0
        private void button1_Click(object sender, EventArgs e)
        {
            data data_object = new data();

            #region 1_signal
            if (checkBox1.Checked == true)
            {
                string s = textBox1.Text;

                y_axis_1_signal = data_object.read_data_file(s);
            }

            #endregion

            #region 2_signal
            if (checkBox2.Checked == true)
            {
                string s  = textBox1.Text;
                string s2 = textBox2.Text;
                y_axis_2_signal_1 = data_object.read_data_file(s);
                y_axis_2_signal_2 = data_object.read_data_file(s2);
            }
            #endregion
        }
Example #3
0
        private void button1_Click(object sender, EventArgs e)
        {
            data   data_object = new data();
            string s           = textBox1.Text;
            double freq        = double.Parse(textBox2.Text);

            signal = data_object.read_data_file(s);
            Stopwatch time = Stopwatch.StartNew();

            DFT(signal);
            time.Stop();
            MessageBox.Show(time.ElapsedMilliseconds.ToString());
            ampitide = Get_Ampitude(real, imagin);
            phase    = Get_Phase(real, imagin);
            X_axis   = Get_X_axis(freq, signal);
        }
        private void button1_Click(object sender, EventArgs e)
        {
            data          d      = new data();
            string        s      = textBox1.Text;
            List <double> signal = new List <double>();
            List <Tuple <double, double> > result = new List <Tuple <double, double> >();

            signal = d.read_data_file(s);
            int n = signal.Count;

            result  = Fast_forurier_series(signal, n);
            Ampitud = Get_Ampitude(result);
            phase   = Get_Phase(result);
            double freq = double.Parse(textBox2.Text);

            x = Get_X_axis(freq, signal);
            string s1 = textBox3.Text;

            d.write_data_inFile_3(s1, result);
        }
        private void button1_Click(object sender, EventArgs e)
        {
            List<double> FinalResult = new List<double>();
            List<double> ecg = new List<double>();
            List<double> hN_after_convultion = new List<double>();
            double fc1 = 0;
            double fc2 = 0;
            double transition_width = 0;
            double Attinuation = 0;
            double Sampling = 0;
            fc1 = double.Parse(textBox4.Text);
            fc2 = double.Parse(textBox5.Text);
            transition_width = double.Parse(textBox1.Text);
            Attinuation = double.Parse(textBox2.Text);
            Sampling = double.Parse(textBox3.Text);
            if (textBox5.Text == "")
            { fc2 = 0; }
            FinalResult = Calculation_of_Hn(Attinuation,transition_width,Sampling,fc1,fc2);//store in file
            string coffetionet = "coffetionet.txt";
            d.write_data_inFile(coffetionet,FinalResult);

            string s = textBox8.Text;
            ecg = d.read_data_file(s);

            //hN_after_convultion = f.convelution_Directe(FinalResult, ecg);//sto in file
            string Coeffaftercon = "coffetionet_After_convolution.txt";
            d.write_data_inFile(Coeffaftercon, hN_after_convultion);
             int Nforup;
            int Nfordown;
            Nforup=int.Parse(textBox7.Text);
            Nfordown=int.Parse(textBox6.Text);
            //SAMPLING
            List<double> SamplingResult = UPSamplingAndDownSampling(FinalResult, ecg, Nforup, Nfordown);//store in file
            string SamplingRes = "SamplingResult.txt";
            d.write_data_inFile(SamplingRes, SamplingResult);
        }
Example #6
0
        private void button1_Click(object sender, EventArgs e)
        {
            data   data_object = new data();
            string s           = textBox2.Text;
            int    level;

            if (checkBox1.Checked == true)
            {
                double bits = double.Parse(textBox3.Text);
                level = int.Parse(Math.Pow(2.0, bits).ToString());
            }
            else
            {
                level = int.Parse(textBox1.Text);
            }

            y_axis_signal = data_object.read_data_file(s);
            double        min_x          = 0.0;
            double        max_x          = 0.0;
            double        resolution     = 0.0;
            List <double> x_list         = new List <double>();
            List <double> y_list         = new List <double>();
            List <double> mid_point_list = new List <double>();

            Tuple <double, double, double> t1 = new Tuple <double, double, double>(min_x, max_x, resolution);

            t1         = data_object.Get_min_Max_X_resolution(y_axis_signal, level);
            min_x      = t1.Item1;
            max_x      = t1.Item2;
            resolution = t1.Item3;

            Tuple <List <double>, List <double>, List <double> > t2 = new Tuple <List <double>, List <double>, List <double> >(x_list, y_list, mid_point_list);

            t2             = data_object.creat_ranges_midPoint(min_x, resolution, level);
            x_list         = t2.Item1;
            y_list         = t2.Item2;
            mid_point_list = t2.Item3;

            List <int> index = new List <int>();


            for (int j = 0; j < y_axis_signal.Count; j++)
            {
                for (int l = 0; l < y_list.Count; l++)
                {
                    if ((x_list[l] <= y_axis_signal[j]) && (y_axis_signal[j] <= y_list[l]))
                    {
                        index.Add(l);
                        break;
                    }
                }
            }


            List <string> encode = new List <string>();

            for (int k = 0; k < index.Count; k++)
            {
                int    id = index[k];
                double x  = mid_point_list[id];
                xq.Add(x);
                string s1 = Convert.ToString(index[k], 2).PadLeft((int)Math.Log(level, 2), '0');  ////////////
                encode.Add(s1);
            }

            dataGridView1.Rows.Add(y_axis_signal.Count);

            for (int i = 0; i < y_axis_signal.Count; i++)
            {
                dataGridView1.Rows[i].Cells[0].Value = i;
                dataGridView1.Rows[i].Cells[1].Value = y_axis_signal[i];
                dataGridView1.Rows[i].Cells[2].Value = index[i];
                dataGridView1.Rows[i].Cells[3].Value = xq[i];
                dataGridView1.Rows[i].Cells[4].Value = encode[i];
                dataGridView1.Rows[i].Cells[5].Value = double.Parse(dataGridView1.Rows[i].Cells[3].Value.ToString()) - double.Parse(dataGridView1.Rows[i].Cells[1].Value.ToString());
            }

            double Error = 0.0;

            for (int j = 0; j < y_axis_signal.Count; j++)
            {
                Error += double.Parse(dataGridView1.Rows[j].Cells[5].Value.ToString()) * double.Parse(dataGridView1.Rows[j].Cells[5].Value.ToString());
            }

            double m = (1.0 / y_axis_signal.Count);

            dataGridView1.Rows[y_axis_signal.Count].Cells[5].Value = m * Error;
        }
Example #7
0
        private void button1_Click(object sender, EventArgs e)
        {
            List <double>  signal1         = new List <double>();
            List <double>  signal2         = new List <double>();
            List <Complex> signal1_complex = new List <Complex>();
            List <Complex> signal2_complex = new List <Complex>();
            data           data_object     = new data();
            string         s1 = textBox1.Text;
            string         s2 = textBox2.Text;

            signal1 = data_object.read_data_file(s1);
            signal2 = data_object.read_data_file(s2);

            string s1_CX = textBox1.Text;
            string s2_CX = textBox2.Text;

            //signal1_complex = data_object.read_data_file_Complex(s1_CX);
            //signal2_complex = data_object.read_data_file_Complex(s2_CX);

            ///////////////////////////////////////////
            #region convelution_Directe " true "
            if (checkBox10.Checked == true)
            {
                List <double> direct_convelution_out = convelution_Directe(signal1, signal2);
            }
            #endregion

            #region convelution_fast " false "
            if (checkBox9.Checked == true)
            {
                List <double> convelution_fast_out = convelution_fast(signal1_complex, signal2_complex);
            }
            #endregion
            ////////////////////////////////////////////

            #region direct correlation true
            if (checkBox4.Checked == true)     // direct correlation
            {
                if (checkBox2.Checked == true) // cross
                {
                    List <double> sl = new List <double>();
                    sl.AddRange(signal1);
                    List <double> sl2 = new List <double>();
                    sl2.AddRange(signal2);

                    List <double> direct_correlation = correlation_Directe(signal1, signal2);
                    double        norm = Normalization(sl, sl2, direct_correlation.Count);
                    for (int i = 0; i < direct_correlation.Count; i++)
                    {
                        direct_correlation[i] = direct_correlation[i] / norm;
                    }
                }
                if (checkBox1.Checked == true) // auto
                {
                    List <double> sl = new List <double>();
                    sl.AddRange(signal1);
                    List <double> sl2 = new List <double>();
                    sl2.AddRange(signal1);

                    List <double> direct_correlation1 = correlation_Directe_auto(signal1, signal1);
                    double        norm = Normalization(sl, sl2, direct_correlation1.Count);
                    for (int i = 0; i < direct_correlation1.Count; i++)
                    {
                        direct_correlation1[i] = direct_correlation1[i] / norm;
                    }
                }
            }

            #endregion

            #region fast correlation
            if (checkBox3.Checked == true)  // fast correlation " auto "t" _____ cross "f" "
            {
                List <Complex> sl = new List <Complex>();
                sl.AddRange(signal1_complex);
                List <Complex> sl2 = new List <Complex>();
                sl2.AddRange(signal2_complex);
                List <double> list_correlation_fast = correlation_fast(signal1_complex, signal2_complex);
                double        norm = Normalization_Complex(sl, sl2, list_correlation_fast.Count);
                for (int i = 0; i < list_correlation_fast.Count; i++)
                {
                    list_correlation_fast[i] = list_correlation_fast[i] / norm;
                }
            }
            #endregion
        }
        private void button2_Click(object sender, EventArgs e)
        {
            data data_object = new data();

            if (flag == 0)
            {
                string s = textBox2.Text;
                l1   = data_object.read_data_file(s);
                flag = 1;
            }
            List <double> l2 = new List <double>();

            if (checkBox1.Checked == true)
            {
                zedGraphControl1.GraphPane.CurveList.Clear();
                zedGraphControl1.GraphPane.GraphObjList.Clear();
                string s2 = textBox4.Text;
                l2 = data_object.read_data_file(s2);
                List <double> mul_signal = new List <double>();
                mul_signal = multi_signal(l1, l2);
                l1         = mul_signal;
                CreateGraph2(zedGraphControl1, 0, mul_signal);
            }

            if (checkBox2.Checked == true) // const
            {
                zedGraphControl1.GraphPane.CurveList.Clear();
                zedGraphControl1.GraphPane.GraphObjList.Clear();
                List <double> mul_signal = new List <double>();
                double        constant   = double.Parse(textBox1.Text);
                mul_signal = const_signal(l1, constant);
                l1         = mul_signal;
                CreateGraph2(zedGraphControl1, 0, mul_signal);
            }

            if (checkBox3.Checked == true) // foold
            {
                zedGraphControl1.GraphPane.CurveList.Clear();
                zedGraphControl1.GraphPane.GraphObjList.Clear();
                CreateGraph_flood(zedGraphControl1, 0, l1);
                for (int i = 0; i < l1.Count; i++)
                {
                    // l1[i] = l1[i] * -1;
                    l1[0] = l1[0] * -1; /////////////////////////////////// check **************************
                }
            }

            if (checkBox4.Checked == true) //shift
            {
                zedGraphControl1.GraphPane.CurveList.Clear();
                zedGraphControl1.GraphPane.GraphObjList.Clear();
                int shifted_value = int.Parse(textBox3.Text);
                shifted_value = shifted_value * -1;
                CreateGraph2(zedGraphControl1, shifted_value, l1);
            }

            if (checkBox5.Checked == true) // shift_foold
            {
                zedGraphControl1.GraphPane.CurveList.Clear();
                zedGraphControl1.GraphPane.GraphObjList.Clear();
                int shifted_value = int.Parse(textBox3.Text);
                CreateGraph_flood(zedGraphControl1, shifted_value, l1);
            }
        }