适应性波器具有里曼纳式多重组约束
Jose Mejia1, Boris Mederos2, Nelly Gordillo1
1Department of Electrical and Computer Engineering, Universidad Autónoma de Ciudad Juárez, 32310, Ciudad Juárez, Mexico.
Scientific reports
|June 2, 2023
概括
本研究引入了一种针对非线性多元数据设计的新型适应性过器,将过扩展到非欧几里德空间. 提出的基于多元组的最小平均平方算法在各种过任务中表现出卓越的性能.
科学领域:
- 信号处理 信号处理
- 机器学习 机器学习
- 几何数据分析 几何数据分析
背景情况:
- 适应性过算法通常假设欧几里德空间,限制其应用到非线性多元数据.
- 在多元组中处理数据需要超越标准欧几里德方法的专业技术.
研究的目的:
- 开发和评估一种能够直接对来自非线性分流器的数据进行操作的适应性过器.
- 将适应性过推广到非欧几里德空间.
主要方法:
- 最小平均平方 (LMS) 算法对多元空间的概括.
- 运用指数图来对多元体内的运算.
主要成果:
- 拟议的基于多元组的自适应波器有效地处理非欧几里德空间中的数据.
- 实验结果显示,在几个过任务中,与现有的最先进的算法相比,其性能优越.
结论:
- 开发的分流适应波器为非线性分流上的信号处理提供了强大的解决方案.
- 这项工作将自适应过的适用性扩展到涉及复杂数据结构的更广泛的真实世界场景.
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