| 基于AR模型的盲源分离方法 |
| |
| 引用本文： | 何继爱,达正花,唐艳娟.基于AR模型的盲源分离方法[J].数据采集与处理,2011,26(2):162-166. |
| |
| 作者姓名： | 何继爱 达正花 唐艳娟 |
| |
| 作者单位： | 1. 兰州理工大学计算机与通信学院,兰州,730050
2. 兰州教育学院理科部,兰州,730020 |
| |
| 基金项目： | 国家自然科学基金(61062002)资助项目; 甘肃省自然科学基金(1014RJZA011)资助项目 |
| |
| 摘 要： | 不同时间结构的平稳随机信号具有不同的模型结构,平稳随机信号可以由白噪声激励一自回归(AR)模型得到,在某种意义上AR模型与线性预测模型等价.因此,在盲源分离中线性预测模型可以作为度量信号分离的测度.为此从信号预测模型的角度出发分析推导了一种新的盲源分离算法,并进行了计算机仿真验证,实验结果表明该算法简单有效,便于工程实...
|
| 关 键 词： | 盲源分离 信号模型 线性预测 瑞利熵 |
Blind Separation Based on AR Model |
| |
| He Jiai,Da Zhenghua,Tang Yanjuan.Blind Separation Based on AR Model[J].Journal of Data Acquisition & Processing,2011,26(2):162-166. |
| |
| Authors: | He Jiai Da Zhenghua Tang Yanjuan |
| |
| Affiliation: | He Jiai1,Da Zhenghua2,Tang Yanjuan1(1.School of Computer and Communication,Lanzhou University of Technology,Lanzhou,730050,China,2.Department of Science,Lanzhou Institute of Education,730020,China) |
| |
| Abstract: | Stationary random signals with different temporal structures often have different model structures.And this type of signals can be generated by the white noise through an auto-regressive(AR) model.Since in some sense,the AR model is equivalent to the linear prediction model,and the linear prediction model structure can be served as a measure to identify different signals.Based on the new measure,a novel blind source separation method is proposed and the corresponding simulation is carried out.Simulation res... |
| |
| Keywords: | blind source separation signal model linear prediction Raleigh entropy |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
