独立子波函数和小波分析在单路含噪信号盲分离中的应用研究:模型与关键技术  

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

作　　者：成谢锋[1,2] 陶冶薇[3,2] 张少白[3] 张学军[1] 刘琚[4] 

机构地区：[1]南京邮电大学电子科学与工程学院,江苏南京210001 [2]济南大学,山东济南250022 [3]南京邮电大学,江苏南京210001 [4]山东大学信息科学与工程学院,山东济南250001

出　　处：《电子学报》2009年第7期1522-1528,共7页Acta Electronica Sinica

基　　金：山东省自然基金(No.Y2006G03;No.Y2007G14;No.Y2007G04;No.2006Gg3204005);国家自然科学基金(No.60872024);南京邮电大学引进人才基金(No.NY207139)

摘　　要：本文提出了一种基于独立子波函数和小波分析的单路含噪混合信号的盲源分离新方法.首先分析了独立子波函数的组成原理,以及获得独立子波函数的方法;然后通过结合独立子波函数进入单路混合信号,使单路混合信号由一维向量转化成为多维向量;其次讨论了利用小波进行二次去噪和解决数据段顺序不确定性的问题,并且文中还给出了独立子波函数个数判定方法和相似相图;最后通过消除瞬态诱发耳声发射中伪迹的实验,验证了本方法的有效性和可行性.Based on independent sub-band functions and wavelet analysis,the paper presents a new technique of signal processing to accomplish blind source separation when a single-channel mixture signal in noise is given.Firstly we analyzed the compositional principle of independent sub-band function and the method how to get independent sub-band function.And combining independent sub-band function into the single mixture signal,a single mixture signal can be wansformed into a multi-dimensional vector from one-dimensional. Then we discuss the problems of second de-noising with wavelet and the order＇s uncertainty of data segments. The paper also presents a determine method of the number of independent sub-band function and the similar phase diagram. Through an experiment of eliminating the artifact of transient evoked otoacoustic emissions,the feasibility and effectiveness of this method have been proven.

关 键 词：盲源信号分离 独立子波函数 单路含噪信号 小波 独立分量分析 瞬态诱发耳声发射 

分 类 号：TN911.7[电子电信—通信与信息系统]