| 基于小波概率密度函数估计的盲信号分离算法 |
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| 引用本文： | 高鹰. 基于小波概率密度函数估计的盲信号分离算法[J]. 广州大学学报(自然科学版), 2006, 5(6): 15-18 |
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| 作者姓名： | 高鹰 |
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| 作者单位： | 广州大学,信息与机电工程学院,广东,广州,510006 |
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| 基金项目： | 中国博士后科学基金 , 广东省广州市科技计划 , 广东省广州市属高校科技计划 |
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| 摘 要： | 利用概率密度函数的非线性小波估计方法,对混合信号的概率密度函数及其导数进行估计,由此估计信号的评价函数,从而给出了一种盲信号分离算法.该方法简单,可直接应用于所有以非线性函数代替评价函数的盲信号分离算法.计算机仿真结果表明了算法的有效性.
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| 关 键 词： | 盲信号分离 评价函数 小波概率密度函数估计 |
| 文章编号： | 1671-4229(2006)06-0015-04 |
| 收稿时间： | 2005-12-26 |
| 修稿时间： | 2006-03-25 |
An algorithm for blind source separation based on wavelet probability density estimation |
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| GAO Ying. An algorithm for blind source separation based on wavelet probability density estimation[J]. Journal og Guangzhou University:Natural Science Edition, 2006, 5(6): 15-18 |
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| Authors: | GAO Ying |
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| Affiliation: | School of Information and Mechanical Electronics Engineering, Guangzhou University, Guangzhou 510006, China |
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| Abstract: | In this paper,an algorithm for linear blind source separation is presented by applying wavelet probability density estimation.Instead of using nonlinear functions,the proposed algorithm use wavelet probability density estimation to estimate the score functions of the signals directly.The proposed algorithm has ability to separate hybrid mixtures that contain both super Gaussian and sub Gaussian sources,and also a simple implementation.Computer simulation results show that the proposed algorithm has good performance. |
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| Keywords: | blind signal separation score functions wavelet probability density estimation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
