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一种新的瞬时混迭信号盲分离的自适应方法
An Adaptive Algorithm for Blind Separation of Instantaneous Mixing Signals
【摘要】 本文利用源信号的统计独立特性,推导出一种瞬时混迭信号分离的自适应方法。这种方法将预白化和正交化合二为一,仅利用观测数据迭代更新分离阵参数。计算机仿真实验结果表明,该方法是有效的,可以较精确分离线性混迭的信号。
【Abstract】 Using statistics independent feature of source signals, this paper proposed a self-adaptive algorithm for separation of instantaneous mixing signals. The proposed algorithm combines pre- whiten and orthogonization, and uses only observation data. The computer simulations show that the proposed algorithm can well restore source signals from their mixtures.
【关键词】 信号分离;
自适应算法;
独立分量分析;
【Key words】 Signal separation adaptive algorithm independent component analysis;
【Key words】 Signal separation adaptive algorithm independent component analysis;
【基金】 国家自然科学基金
- 【文献出处】 电路与系统学报 ,JOURNAL OF CIRCUITS AND SYSTEMS , 编辑部邮箱 ,1998年04期
- 【分类号】TN911.7
- 【被引频次】27
- 【下载频次】126