盲信号分离技术研究与算法综述

计算机科学 ›› 2009, Vol. 36 ›› Issue (10): 16-20.

盲信号分离技术研究与算法综述

周治宇,陈豪

(中国空间技术研究院西安分院空间微波技术国家级重点实验室西安710100)

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受国家重点实验室基金项(9140C5305020705,9140C5306030707)资助。

Research and Survey on Algorithms of Blind Signal Separation Technology

ZHOU Zhi-yu , CHEN Hao

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 盲信号分离技术是从接收信号中恢复未知源信号的有效方法，已经成为神经网络和信号处理等领域新的研究热点。首先介绍盲信号分离的发展状况，然后在介绍了盲信号分离的线性瞬时模型、线性卷积模型和非线性模型的基础上，对相应模型求解算法的基本原理、特点进行了阐述，接着还对与盲信号分离紧密相关的盲信号抽取技术进行了综述，最后指出盲信号分离技术的研究方向和广阔的应用前景。

关键词: 盲信号分离，独立分量分析，盲源分离，综述

Abstract: B1ind signal separation(BSS) is a useful technology which can recover the unknown source signals from the received signals. It has become a new research hot spot of neural network and signal processing. We first introduced the development of BSS and then introduced the BSS's math models which containe linear instant model,linear convolutive model and nonlinear model. We also analysed the algorithms' principal and characteristic of every model and introduced blind signal extraction technology which is closed to BSS. Finally, we pointed out the research direction and wide fore-ground of BSS.

Key words: B1ind signal separation, Independent component analysis, B1ind source separation, Survey

周治宇,陈豪. 盲信号分离技术研究与算法综述[J]. 计算机科学, 2009, 36(10): 16-20. https://doi.org/

ZHOU Zhi-yu , CHEN Hao. Research and Survey on Algorithms of Blind Signal Separation Technology[J]. Computer Science, 2009, 36(10): 16-20. https://doi.org/

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