/// <summary>
/// 特性分析中下拉框状态改变响应函数
/// </summary>
private void featurecomboBox1_SelectedIndexChanged(object sender, EventArgs e)
{
string selectedText = featurecomboBox1.SelectedItem.ToString();
int index = arr_tar.IndexOf(selectedText);
//int index =(int) selectedId;
FeatureModel feature = new FeatureModel();
Dictionary<String, double> featDicX;
Dictionary<String, double> featDicY;
if (scene == Scene.COMMAND)
{
featDicX = feature.getTimeAndSpaceFeatureX(command_listmix[index], 13);
featDicY = feature.getTimeAndSpaceFeatureY(command_listmix[index], 13);
fftList = feature.getFrequentFFTFeature(command_listmix[index]);
ifftList = feature.getFrequentIFFTFeature(command_listmix[index]);
}
else
{
if (noiseFlag == NoiseEnum.NoNoise)
return;
if (noiseFlag == NoiseEnum.GUASSIAN)
{
featDicX = feature.getTimeAndSpaceFeatureX(guassianList_final[index], 13);
featDicY = feature.getTimeAndSpaceFeatureY(guassianList_final[index], 13);
//频率分析的轨迹点
fftList = feature.getFrequentFFTFeature(guassianList_final[index]);
ifftList = feature.getFrequentIFFTFeature(guassianList_final[index]);
}
else if (noiseFlag == NoiseEnum.POISSON)
{
featDicX = feature.getTimeAndSpaceFeatureX(poissonList_final[index], 13);
featDicY = feature.getTimeAndSpaceFeatureY(poissonList_final[index], 13);
//频率分析
fftList = feature.getFrequentFFTFeature(poissonList_final[index]);
ifftList = feature.getFrequentIFFTFeature(poissonList_final[index]);
}
else
{
featDicX = feature.getTimeAndSpaceFeatureX(uniformList_final[index], 13);
featDicY = feature.getTimeAndSpaceFeatureY(uniformList_final[index], 13);
//频率分析
fftList = feature.getFrequentFFTFeature(poissonList_final[index]);
ifftList = feature.getFrequentIFFTFeature(poissonList_final[index]);
}
}
String[] featName = new String[13];
int i = 0;
foreach (String key in featDicX.Keys)
{
featName[i++] = key;
}
featurelistView.BeginUpdate();
featurelistView.Clear();
ColumnHeader header1 = new ColumnHeader();
header1.Text = " ";
header1.Width = 85;
ColumnHeader header2 = new ColumnHeader();
header2.Text = "X";
header2.Width = 90;
ColumnHeader header3 = new ColumnHeader();
header3.Text = "Y";
header3.Width = 90;
featurelistView.Columns.AddRange(new ColumnHeader[] { header1, header2, header3 });
featurelistView.FullRowSelect = true;
//listview 中添加数据
//featurelistView.Items.Add(" ");
featurelistView.Items.Add("算法");
//listItem.SubItems.Add("数值分析");
featurelistView.Items[0].SubItems.Add("数值分析");
featurelistView.Items[0].SubItems.Add("数值分析");
ListViewItem listItem = new ListViewItem();
for (i = 0; i < 13; i++)
{
featurelistView.Items.Add("" + featName[i]);
featurelistView.Items[i + 1].SubItems.Add("" + featDicX[featName[i]]);
featurelistView.Items[i + 1].SubItems.Add("" + featDicY[featName[i]]);
}
//如果场景是声呐（主动）
if (scene == Scene.ACT_SONAR)
{
featurelistView.Items.Add("探测距离");
featurelistView.Items[++i].SubItems.Add(">40km");
featurelistView.Items[i].SubItems.Add(">40km");
featurelistView.Items.Add("方位");
featurelistView.Items[++i].SubItems.Add("0~2*pi");
featurelistView.Items[i].SubItems.Add("0~2*pi");
}
else if (scene == Scene.PAS_SONAR) //声呐被动
{
featurelistView.Items.Add("探测距离");
featurelistView.Items[++i].SubItems.Add("<20km");
featurelistView.Items[i].SubItems.Add("<20km");
featurelistView.Items.Add("方位");
featurelistView.Items[++i].SubItems.Add("0~2*pi");
featurelistView.Items[i].SubItems.Add("0~2*pi");
}
else if (scene == Scene.ELEC_VS) //电子对抗
{
addfeature_to_listview(i);
}
featurelistView.View = System.Windows.Forms.View.Details;
featurelistView.GridLines = true;
featurelistView.EndUpdate();
//弹出新窗口，绘制频率分析轨迹
FrequencyForm frequentForm = new FrequencyForm();
frequentForm.Show();
frequentForm.draw_fft_trail(fftList, selectedText);
frequentForm.draw_ifft_trail(ifftList, selectedText);
}
//特性分析中下拉框状态改变响应函数
private void featurecomboBox1_SelectedIndexChanged(object sender, EventArgs e)
{
int showIndex = featurecomboBox1.SelectedIndex;
FeatureModel feature = new FeatureModel();
Dictionary<String, double> featDicX;
Dictionary<String, double> featDicY;
if (noiseFlag == NoiseEnum.NoNoise)
return;
if (showIndex == 0)
{
//当前选中了时域和空域特征分析(X)
if (noiseFlag == NoiseEnum.GUASSIAN){
featDicX = feature.getTimeAndSpaceFeatureX(guassianList[0], 13);
featDicY = feature.getTimeAndSpaceFeatureY(guassianList[0], 13);
}
else if(noiseFlag == NoiseEnum.POISSON){
featDicX = feature.getTimeAndSpaceFeatureX(poissonList[0], 13);
featDicY = feature.getTimeAndSpaceFeatureY(uniformList[0], 13);
}
else{
featDicX = feature.getTimeAndSpaceFeatureX(uniformList[0], 13);
featDicY = feature.getTimeAndSpaceFeatureY(uniformList[0], 13);
}
String[] featName = new String[13];
int i = 0;
foreach (String key in featDicX.Keys)
{
featName[i++] = key;
}
featurelistView.BeginUpdate();
featurelistView.Clear();
ColumnHeader header1 = new ColumnHeader();
header1.Text = " ";
header1.Width = 85;
ColumnHeader header2 = new ColumnHeader();
header2.Text = "X";
header2.Width = 90;
ColumnHeader header3 = new ColumnHeader();
header3.Text = "Y";
header3.Width = 90;
featurelistView.Columns.AddRange(new ColumnHeader[] { header1, header2, header3 });
featurelistView.FullRowSelect = true;
//listview 中添加数据
//featurelistView.Items.Add(" ");
featurelistView.Items.Add("算法");
//listItem.SubItems.Add("数值分析");
featurelistView.Items[0].SubItems.Add("数值分析");
featurelistView.Items[0].SubItems.Add("数值分析");
ListViewItem listItem = new ListViewItem();
for (i = 0; i < 13; i++)
{
featurelistView.Items.Add("" + featName[i]);
//ListViewItem listItem = new ListViewItem();
//listItem.SubItems.Add(""+featDic[featName[i]]);
featurelistView.Items[i+1].SubItems.Add("" + featDicX[featName[i]]);
featurelistView.Items[i + 1].SubItems.Add("" + featDicY[featName[i]]);
}
featurelistView.View = System.Windows.Forms.View.Details;
featurelistView.GridLines = true;
featurelistView.EndUpdate();
}
else if (showIndex == 1)
{
//当前选中了时域和空域特征分析(Y)
/* if (noiseFlag == NoiseEnum.GUASSIAN)
featDic = feature.getTimeAndSpaceFeatureY(guassianList, 13);
else if (noiseFlag == NoiseEnum.POISSON)
featDic = feature.getTimeAndSpaceFeatureY(poissonList, 13);
else
featDic = feature.getTimeAndSpaceFeatureY(uniformList, 13);
String[] featName = new String[13];
int i = 0;
foreach (String key in featDic.Keys)
{
featName[i++] = key;
}
featurelistView.BeginUpdate();
featurelistView.Clear();
ColumnHeader header1 = new ColumnHeader();
header1.Text = "算法";
header1.Width = 95;
ColumnHeader header2 = new ColumnHeader();
header2.Text = "数值分析";
header2.Width = 100;
featurelistView.Columns.AddRange(new ColumnHeader[] { header1, header2 });
featurelistView.FullRowSelect = true;
//listview 中添加数据
for (i = 0; i < 13; i++)
{
featurelistView.Items.Add("" + featName[i]);
ListViewItem listItem = new ListViewItem();
listItem.SubItems.Add("" + featDic[featName[i]]);
featurelistView.Items[i].SubItems.Add("" + featDic[featName[i]]);
}
featurelistView.View = System.Windows.Forms.View.Details;
featurelistView.GridLines = true;
featurelistView.EndUpdate();
*/
}
else if(showIndex == 2)
{
//当前选中了频域特征分析
MessageBox.Show("频域特征分析未实现", "hints");
}
}