盲信号提取的神经网络方法

盲信号提取的神经网络方法 On Neural Network Method for Extraction of Blind Signals 傅予力 FU Yu\|li 1 2 first-author 谢胜利 XIE Sheng\|li 1 2 华南理工大学电子与信息工程学院 华南理工大学电子与信息工程学院 College of Electronics and Information Engineering, South China University of Technology College of Electronics and Information Engineering, South China University of Technology 华南理工大学电子与信息工程学院,广东,广州,510640 华南理工大学电子与信息工程学院,广东,广州,510640 采用神经网络方法 ,在对于混合矩阵的秩知道一些先验信息的条件下 ,对于检测信号少于盲信号的问题 ,从理论上给出了提取盲信号的充分与必要条件 ,根据这个条件 ,从检测信号中能够提取出某些盲信号 并具体给出了用于提取盲信号的神经网络的结构和提取方法 By using neural network method, under the condition of that some information about rank of the mixture matrix is known, we present a condition of extraction. By using the condition, one can extract some blind signals from the observed signals, when the number of observed signals less than the number of blind signals. A theoretical necessary and sufficient condition of extractability is given. The structure of the neural network and the method of extraction are proposed in detail. 盲信号 信号提取 神经网络 blind signal extraction of signals neural network TN911 华南理工大学自然科学基金资助 2003-01-01 2021-04-01 1