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ROBUST SIGNAL DETECTION USING CORRENTROPY

机译：使用CornertroPy进行鲁棒信号检测

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摘要

A method (200) for detecting a periodic signal (141) in a noisy signal (101) is provided. The method can include applying (210) correntropy to the noisy signal to generate a non-linear mapping, and applying (220) a sub-space projection to the non-linear mapping to produce principal components. A correntropy kernel can be applied to the noisy signal to generate a Gram matrix that is used in a Temporal Principal Component Analysis (TPCA). The correntropy kernel projects nonlinearly the input data to a reproducing kernel Hilbert Space (RKHS) preserving the input time structure and attenuating impulsive noise. The correntropy kernel is data dependent, and the RKHS correlation matrix has the same dimension as the input data correlation matrix. A principal component having a majority of signal energy can be chosen (230) to detect the periodic signal.

机译：提供一种用于检测噪声信号（ 101 ）中的周期信号（ 141 ）的方法（ 200 ）。该方法可以包括将（ 210 ）熵应用于噪声信号以生成非线性映射，以及将（ 220 ）子空间投影应用于非线性映射以产生主要成分。可以将熵核应用于噪声信号，以生成用于时间主成分分析（TPCA）的Gram矩阵。熵核将输入数据非线性地投影到再现核Hilbert空间（RKHS），以保留输入时间结构并衰减脉冲噪声。熵核是数据相关的，并且RKHS相关矩阵的维数与输入数据相关矩阵的维数相同。可以选择具有大部分信号能量的主分量（ 230 ）来检测周期信号。 展开▼

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公开/公告号US2010197258A1

专利类型

公开/公告日2010-08-05

原文格式PDF

申请/专利权人 JOSE C. PRINCIPE;WEIFENG LIU;
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申请/专利号US20070597561

发明设计人 WEIFENG LIU;JOSE C. PRINCIPE;
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申请日2007-04-26

分类号H04B17/00;

国家 US

入库时间 2022-08-21 18:52:37

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