An Effective Algorithm for Blind Separation of Arbitrary Source Signals

ZHANG Hong-yuan; SHI Xi-zhi

您当前的位置：

首页 >

文章列表页 >

An Effective Algorithm for Blind Separation of Arbitrary Source Signals

更新时间：2025-07-16

- An Effective Algorithm for Blind Separation of Arbitrary Source Signals
- Acta Electronica Sinica Vol. 29, Issue 10, Pages: 1392-1396(2001)
- 作者机构：
  
  1. 深圳市中兴通讯股份有限公司技术中心研究部,广东,深圳,518057
  2. 上海交通大学振动、冲击、噪声国家重点实验室,上海,200030
  3. 深圳市中兴通讯股份有限公司技术中心研究部广东深圳,518057
  4. 上海交通大学振动、冲击、噪声国家重点实验室上海,200030
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.72
- Published：2001
- 稿件说明：
移动端阅览
ZHANG Hong-yuan, SHI Xi-zhi. An Effective Algorithm for Blind Separation of Arbitrary Source Signals[J]. Acta Electronica Sinica, 2001, 29(10): 1392-1396.
DOI：

ZHANG Hong-yuan, SHI Xi-zhi. An Effective Algorithm for Blind Separation of Arbitrary Source Signals[J]. Acta Electronica Sinica, 2001, 29(10): 1392-1396. DOI：

摘要

提出了信号源盲分离的DBBSS算法.利用随机变量概率密度函数非参数估计的核函数法

对混合信号的概率密度函数及其导数进行估计

并由此估计信号的评价函数(score function).解决了现有信号源盲分离算法中

普遍存在的非线性函数只能凭经验选取

以及混合信号同时包含超高斯信号和亚高斯信号时

算法失效的问题.该方法非常简单

可以直接应用于所有以非线性函数代替评价函数的信号源盲分离算法.仿真结果验证了算法的有效性.

Abstract

A new blind source separation algorithm called DBBSS (Density Based Blind Source Separation) is proposed.Instead of using nonlinear functions

the DBBSS algorithm use nonparametric kernel density estimation to directly estimate the score functions of the signals.The key advantage of the proposed method over many existing blind source separation algorithms is its ability to separate hybrid mixtures that contain both super-Gaussian and sub-Gaussian sources.The DBBSS algorithm is also very simple in implementation.Simulations show good performance of the proposed algorithm.

关键词

Keywords

references

Views

1187

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Spectral Unmixing-Based Method for Road Detection in Hyperspectral Images

Applications of Independent Sub-Band Functions and Wavelet Analysis in Single-Channel Noisy Signal BSS:Model and Crucial Technique

Robust Watermark Based on JADE Algorithm

Related Author

FONT

HU Lei

GU Yan-feng

LI Bo

JI Yan

Verdana

FONT face

LIU Ju

Related Institution

哈尔滨工业大学电信学院

北京遥感信息研究所

1．北京航空航天大学计算机学院

School of Information Science and EngineeringShandong UniversityJinanShandong 250001China

University of JinanJinanShandong 250022China

⁰