An Improved Fast-ICA Algorithm Based on Fourth-Order Cumulant

JIAN Ke; Cui Zhi-tao

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

An Improved Fast-ICA Algorithm Based on Fourth-Order Cumulant

更新时间：2026-05-27

- An Improved Fast-ICA Algorithm Based on Fourth-Order Cumulant
- Vol. 25, Issue 4, Pages: 56-60(2008)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：01 March 2008，
  
  Published：2008
- 稿件说明：
移动端阅览
蹇柯, 崔志涛. 一种基于四阶累积量的改进快速ICA算法[J]. 广东工业大学学报, 2008, 25(4): 56-60.

JIAN Ke, Cui Zhi-tao. An Improved Fast-ICA Algorithm Based on Fourth-Order Cumulant[J]. 2008, 25(4): 56-60.
蹇柯, 崔志涛. 一种基于四阶累积量的改进快速ICA算法[J]. 广东工业大学学报, 2008, 25(4): 56-60. DOI：

JIAN Ke, Cui Zhi-tao. An Improved Fast-ICA Algorithm Based on Fourth-Order Cumulant[J]. 2008, 25(4): 56-60. DOI：

摘要

快速ICA(独立分量分析:Independent Component Analysis)算法是目前非常流行的一种好算法.以四阶累积量作为优化判据

在分析批处理的固定点快速分离算法基础上

对牛顿迭代法进行了一系列改进

提出了一种新的独立分量分析算法

计算机的仿真结果验证了该改进算法的有效性.

Abstract

Fast-ICA method is a popular good algorithm nowadays.Tt proposes a new independent component analysis algorithm which uses fourth-order cumulant as the optimized criterion

and improves Newton iteration method by analyzing batch processing fixed-point fast-ICA method.The validity and performance of the proposed algorithm are verified by extensive computer simulations.

关键词

Keywords

references

刘海林. 基于广义特征值的病态混叠盲源分离算法[J]. 电子学报. 2006(11)

刘海林,谢胜利. 非线性盲源分离的多目标进化算法[J]. 系统工程与电子技术. 2005(09)

张荣,薛国民. 修正的三次收敛的牛顿迭代法[J]. 大学数学. 2005(01)

[瑞典]Germund Dahlquist 著,包雪松译.数值方法[M]. 高等教育出版社, 1990

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Blind Signal Separation Algorithm Based on Quasi-Newton

A Resource Allocation Optimization Method for Multi-UAV Integrated Sensing, Computing, and Communication Towards Disaster Relief

Modeling of 3D NAND Memory Cells with Taper Angle and Programming Strategy Optimization

Ground Deformation Monitoring and Influencing Factors Analysis in Fuzhou City Based on PSI Technology

Energy Management Strategy of Hybrid Locomotive Based on Road Condition Parameters

Related Author

Liu Hai-lin

Related Institution

No data

AI问答

⁰