翻译一下这段代码1: Initially select the random values of quality factor and oversampling rate (Qrand and qrand). 2: Evaluate Rmax using Eq. (10). 3: Decompose the signal using Qrand; qrand, and Rmax. 4: Evaluate gaðnÞ using inverse A-TQWT. 5: Evaluate the msE from Eq. (12) 6: while (minðmsEÞ) do 7: if (msE== min) then 8: Qopt and qopt 9: else 10: Iterate for different set of Q and q 11: end if 12: end while 13: Repeat steps 1–12 for each signal of HC and PD subjects. 14: Get Qopt and qopt for each signal. 15: Compute Rmax for each signal using Eq. (10). 16: Decompose all signals with A-TQWT using Qopt; qopt and Ropt. 17: Evaluate optimum number of decomposition level Ropt

1. 首先，随机选择质量因子和过采样率的值（Qrand和qrand）。
2. 使用公式（10）计算出Rmax。
3. 使用Qrand，qrand和Rmax对信号进行分解。
4. 使用反向A-TQWT计算出gaðnÞ。
5. 使用公式（12）计算msE。
6. 当（min（msE））时执行以下步骤。
7. 如果（msE== min），则执行以下步骤。
8. 得到Qopt和qopt。
9. 否则，迭代不同的Q和q的集合。
10. 结束if语句。
11. 结束while循环。
12. 对HC和PD受试者的每个信号重复步骤1-12。
13. 获取每个信号的Qopt和qopt。
14. 使用公式（10）计算每个信号的Rmax。
15. 使用Qopt，qopt和Ropt对所有信号进行A-TQWT分解。
16. 使用公式（14）评估最佳分解级别Ropt。

相关问题

Show the result of inserting 10, 12, 1, 14, 6, 5, 8, 15, 3, 9, 7, 4, 11, 13, and 2, one at a time, into an initially empty binary heap.

Sure, I can show you the step-by-step process of inserting these values into an initially empty binary heap:

1. Insert 10:

   10

2. Insert 12:

    10
   /
  12

3. Insert 1:

    1
   / \
 10  12

4. Insert 14:

    1
   / \
 10  12
 /
14

5. Insert 6:

    1
   / \
  6  12
 / \
10 14

6. Insert 5:

    1
   / \
  5  12
 / \  \
10 14  \
       6

7. Insert 8:

    1
   / \
  5  12
 / \  \
10 14  8
       / \
      6   \
           9

8. Insert 15:

    1
   / \
  5  12
 / \  \
10 14  8
       / \
      6   9
     /
   15

9. Insert 3:

    1
   / \
  3  12
 / \  \
10 14  8
       / \
      6   9
     / \
   15  5

10. Insert 9:

    1
   / \
  3  12
 / \  \
10 14  8
       / \
      6   9
     / \ /
   15  5 9

11. Insert 7:

    1
   / \
  3  7
 / \  \
10 14  8
       / \
      6   9
     / \ /
   15  5 9
  /
12

12. Insert 4:

    1
   / \
  3  4
 / \  \
10 14  8
       / \
      6   9
     / \ /
   15  5 9
  / \
12  7

13. Insert 11:

    1
   / \
  3  4
 / \  \
10 11  8
       / \
      6   9
     / \ /
   15  5 9
  / \
12  7

14. Insert 13:

    1
   / \
  3  4
 / \  \
10 11  8
       / \
      6   9
     / \ /
   15  5 13
  / \   
12  7  

15. Insert 2:

    1
   / \
  2   4
 / \  \
3  11  8
   / \
  6   9
 / \ /
10 5 13
   \
    7  

The final binary heap looks like this:

     1
   /   \
  2     4
 / \   / \
3  11  8  7
   / \
  6   9
 / \ /
10 5 13

Use java to write a program to display a progress meter . The meter consists of a window with a column of 11 labels. The first 10 labels indicate progress steps of 10% and are initially red. The bottom label shows the amount of activity remaining as a textual percentage, and is initially set to “0%”.

Certainly! Here's a Java program that creates a progress meter as described:

import javax.swing.*;
import java.awt.*;

public class ProgressMeter extends JFrame {
    private JLabel[] progressSteps;
    private JLabel remainingLabel;

    public ProgressMeter() {
        super("Progress Meter");
        setSize(200, 400);
        setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);

        // create the progress step labels
        progressSteps = new JLabel[10];
        for (int i = 0; i < progressSteps.length; i++) {
            progressSteps[i] = new JLabel();
            progressSteps[i].setPreferredSize(new Dimension(100, 20));
            progressSteps[i].setOpaque(true);
            progressSteps[i].setBackground(Color.RED);
            add(progressSteps[i]);
        }

        // create the remaining activity label
        remainingLabel = new JLabel("0%");
        remainingLabel.setPreferredSize(new Dimension(100, 20));
        add(remainingLabel, BorderLayout.SOUTH);

        setVisible(true);
    }

    public void updateProgress(int percentComplete) {
        // update the progress step labels
        int numProgressSteps = progressSteps.length;
        int numCompletedSteps = (int) Math.ceil(percentComplete * numProgressSteps / 100.0);
        for (int i = 0; i < numCompletedSteps; i++) {
            progressSteps[i].setBackground(Color.GREEN);
        }

        // update the remaining activity label
        remainingLabel.setText(percentComplete + "%");
    }

    public static void main(String[] args) throws InterruptedException {
        ProgressMeter progressMeter = new ProgressMeter();

        // simulate progress
        int percentComplete = 0;
        while (percentComplete <= 100) {
            progressMeter.updateProgress(percentComplete);
            Thread.sleep(1000);
            percentComplete += 10;
        }
    }
}

This program creates a `JFrame` with a column of 10 `JLabel`s representing the progress steps, and a bottom `JLabel` showing the remaining activity as a percentage. The `updateProgress` method updates the progress step labels and remaining activity label based on the given percentage. The `main` method simulates progress by updating the progress meter every second for 10 iterations, with each iteration representing 10% progress.