Blind Source Separation

ZHANG Xian-da; BAO Zheng

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Blind Source Separation

更新时间：2025-07-16

- Blind Source Separation
- Acta Electronica Sinica Vol. 29, Issue S1, Pages: 1766-1771(2001)
- 作者机构：
  
  西安电子科技大学雷达信号处理重点实验室,陕西,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.23
- Published：2001
- 稿件说明：
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ZHANG Xian-da, BAO Zheng. Blind Source Separation[J]. Acta Electronica Sinica, 2001, 29(S1): 1766-1771.
DOI：

ZHANG Xian-da, BAO Zheng. Blind Source Separation[J]. Acta Electronica Sinica, 2001, 29(S1): 1766-1771. DOI：

摘要

阵列处理和数据分析的一个典型问题是从混合的观测数据向量中恢复不可观测的各个源信号.盲信号分离是解决这一问题的一门新技术

近几年吸引了信号处理学界和神经网络学界众多学者的研究兴趣.本文将以独立分量分析和非线性主分量分析为主要对象

综述盲信号分离技术的理论、方法及应用等方面的发展

并作有关展望.

Abstract

A typical problem in array processing and data analysis is to recover the unobserved source signals from their mixtures.Blind source separation(BSS) is a powerful methodology for solving this problem.In recent years

the BSS has received considerable attention from the signal processing community and the neural network community.This paper presents a survey and review on the BSS

focusing on the independent component analysis(ICA) and the principal component analysis(PCA).

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