Blind Source Separation Based on Ridge Characterization Extraction

ZHANG Xiao-dong; WANG Qiao; WU Le-nan

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Blind Source Separation Based on Ridge Characterization Extraction

更新时间：2025-07-16

- Blind Source Separation Based on Ridge Characterization Extraction
- Acta Electronica Sinica Vol. 32, Issue 7, Pages: 1156-1159(2004)
- 作者机构：
  
  东南大学无线电工程系,江苏,南京,210096
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.72
- Published：2004
- 稿件说明：
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ZHANG Xiao-dong, WANG Qiao, WU Le-nan. Blind Source Separation Based on Ridge Characterization Extraction[J]. Acta Electronica Sinica, 2004, 32(7): 1156-1159.
DOI：

ZHANG Xiao-dong, WANG Qiao, WU Le-nan. Blind Source Separation Based on Ridge Characterization Extraction[J]. Acta Electronica Sinica, 2004, 32(7): 1156-1159. DOI：

摘要

本文研究了一种新的盲信号分离方法

利用信号在时频变换域上的一些形态特征进行信号分量的分离和重构.稳定位相法的理论表明

渐近信号在连续小波变换域上的分布呈现明显的脊的形态

脊上的数据表现出和原信号最相似的特性

各个信号分量的主要参数均可以从各自对应的脊上的信息中提取出来

并且完全重构信号.本文利用这一特点对由多个非平稳信号混合而成的源信号进行盲分离

并给出了仿真实验的结果.

Abstract

A new blind source separation method based on ridge characterization extraction is presented.The stationary phase method proves that in the asymptotic limit

the behavior of the continuous wavelet coefficients shows strong ridge character.By extracting the ridge characterization of each signal component

some parameters of the signal component can be extracted and used in reconstruction of the original signal.This feature can be used in blind source separation of a set of instantaneous linear mixtures of non-stationary signals.Numerical simulations are provided.

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