根据联合Jarque-Bera测试和组合权衡方法来确定离散波纹的最佳分解水平的确定方法
Zhanpeng Zhang1,2, Changjian Liu1,2, Min Wang1,2
1Key Laboratory of Smart Earth, Beijing 100080, China.
Entropy (Basel, Switzerland)
|February 26, 2025
概括
这项研究引入了一种使用Jarque-Bera测试和复合权重的自适应波量级消极化方法. 它准确地确定了最佳的分解水平,提高了信号的平滑性和稳定性.
科学领域:
- 信号处理 信号处理
- 数据分析 数据分析
- 波浪子理论 波浪子理论
背景情况:
- 传统的波纹分解水平选择方法有局限性.
- 现有的评价指标可能无法完全捕捉无效的绩效.
- 精确选择分解水平对于有效的信号消噪至关重要.
研究的目的:
- 提出一种适应性方法来选择最佳的波纹分解水平.
- 为了提高波束无声化的准确性和适用性.
- 克服传统评估指标的局限性.
主要方法:
- 使用Jarque-Bera测试进行噪声特征验证.
- 选择RMSE和流性作为关键的否定评估指标.
- 开发了一个复合权重策略,将和变量系数方法结合起来.
主要成果:
- 拟议的方法在各种场景中准确地确定了最佳波纹分解水平.
- 模拟结果显示高精度和良好的适用性.
- 实验结果表明,信号流性,波形稳定性和整体无色化性能得到了改善.
结论:
- 适应性方法有效地解决了选择波纹分解水平的局限性.
- 综合权重方法提高了评估指标的可靠性.
- 这种方法在波段无线化应用程序中提供了显著的改进.
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