一种基于AR模型的非线性盲源提取方法及其应用

An AR parameters-based source selection method in general nonlinear blind source extraction

针对非线性盲源分离中非线性问题转化为线性问题,提出了一种基于AR模型的新方法。该方法在已知源信号的AR模型前提下,不但能够处理源信号的分离问题,还能够提取特定源信号,而后者是原来方法不具备的。从语音信号的非线性混合中提取源信号的仿真实验证实了该算法的有效性。

In the nonlinear blind source separation（BSS）case,an AR parameters method was introduced as a new selection procedure.Compared with previous methods,the proposed algorithm can not only do the separation,but also extract any desired signal with the corresponding AR parameter.It could deal with nonlinear blind source extraction（BSE）at the cost of more prior information,and its performance was demonstrated on nonlinearly mixed speech data.