| 基于递归神经网络结构的非平稳信号自适应盲分离 |
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| 引用本文： | 苏伟生,何文雪,谢剑英.基于递归神经网络结构的非平稳信号自适应盲分离[J].计算机工程,2004,30(22):30-31,88. |
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| 作者姓名： | 苏伟生 何文雪 谢剑英 |
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| 作者单位： | 1. 南京航空航天大学能源与动力学院,南京,210016
2. 上海交通大学自动化所,上海,200030 |
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| 基金项目： | 国家“863”计划基金资助项目(2001AA422420-02) |
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| 摘 要： | 基于递归网络分离结构并利用时间相关的评价函数，针对二输入二输出盲信号分离问题，提出了一种非平稳信号的自适应盲分离算法。该算法计算量小，可根据输出信号能量大小有选择地更新分离系数。并可扩展到多输入多输出盲分离问题。仿真验证对声音等非平稳信号具有良好的分离效果。
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| 关 键 词： | 信号处理 递归神经网络结构 自适应盲分离算法 仿真 |
| 文章编号： | 1000-3428(2004)22-0030-02 |
Self-adaptive Blind Source Separation for Non-stationary Signals Based on Recursive Neural Network Structure |
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| SU Weisheng,HE Wenxue,XIE Jianying.Self-adaptive Blind Source Separation for Non-stationary Signals Based on Recursive Neural Network Structure[J].Computer Engineering,2004,30(22):30-31,88. |
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| Authors: | SU Weisheng HE Wenxue XIE Jianying |
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| Affiliation: | SU Weisheng1,HE Wenxue2,XIE Jianying2 |
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| Abstract: | A double-input/double-output self-adaptive blind source separation (BSS) algorithm for non-stationary signals based on recursive structure and using time-related cost function is presented in this paper. This algorithm has low computing cost and could update selected separation parameters based on signal output energy which could be extended to multiple input/output blind source separation problem. Simulations have been made to validate the good separation performance of the algorithm. |
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| Keywords: | Blind source separation Cost function Recursive structure Non-stationary signal |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
