状适配分解用于多元组件信号的即时特征表示
Donghu Nie1,2,3,4, Xin Su1,2,3, Gang Qiao1,2,3,4
1National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China.
Sensors (Basel, Switzerland)
|November 9, 2024
概括
这项研究介绍了状配件分解 (SFD),这是一种用于提取信号组件的新方法. SFD有效地将非静止信号分解为它们的即时幅度,相位和频率,确保正幅度和光滑相位.
科学领域:
- 信号处理 信号处理
- 非静止信号分析 信号分析
- 时间频率分析
背景情况:
- 从非静止信号中提取即时特征是一个重大挑战.
- 现有的方法通常依赖于字典或基础函数,限制了它们的适用性.
- 准确的分解对于理解复杂的信号行为至关重要.
研究的目的:
- 提出一种新的多组分分解方法,称为正弦合分解 (SFD).
- 从信号中提取即时振幅 (IA),即时相 (IP) 和即时频率 (IF).
- 确保提取的组件具有理想的特性,如正IA和单调IP.
主要方法:
- 开发了一种新型的代合成工艺 - - 状配合分解 (SFD).
- SFD将信号分解为有限的单元信号.
- 该方法避免依赖词典,基础函数空间或选操作.
主要成果:
- SFD确保提取的IA是正的,IP是单调增加的.
- 来自IA和IP的合成信号是单组分的和光滑的.
- 该方法有效地描述了时间频平面上的瞬间频率幅度特征.
结论:
- 鼻状配件分解 (SFD) 是一种非静止信号分析的有效方法.
- 拟议的方法通过避免复杂的依赖,比现有技术提供了优势.
- SFD提供准确可靠的信号即时属性的提取.
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