盲信号处理中的次序不确定性问题研究

深入研究了盲信号处理中解决次序不确定的互参数法的理论基础，通过公式推导和高斯白噪声下的仿真实验，揭示了互参数法有效的原因之一是离散傅立叶的计算方法提供了互参数的相关性，从而得出了互参数法的应用可以拓展至语音信号以外的信号的结论；通过对源信号计算互参数来反映相关系数Corr和KL距离在语音信号卷积混合频域解法中的性能，发现KL距离的性能优于相关系数，但是在某些情况下，由于离散化带来的误差和信号长度太短而引起的独立性下降等因素，使得KL距离仍然存在着不能够进行有效进行频率对准的可能。

Study on permutation in blind signal processing

The basis of mutual parameter method is explored to correct the permutation in blind signal processing.After the mutual parameters are deeply analyzed,it is natural to find that the computation method of DFT introduces the correlation to the mutual parameters method,hence,the mutual parameters can be extended to other signals except speech.By different simulation,different current algorithms are compared KL distance behaves better than correlation coefficient.However,in some frequency bins,mutual parameters still possibly can not correct the permutation indeterminacy.