针对观测信号相互置换的情况,从盲源分离的角度研究置换混叠信号的自检测与分离问题,给出了置换混叠信号的数学模型,提出了基于特征域可分的置换混叠区域检测方法,根据频谱特性和局部相关性分别提出了正弦置换混叠信号和置换混叠图像的盲检测与分离算法.实验结果表明,该方法能有效应用于置换混叠信号的检测.
For permuted signals, the blind detection and separation problems are considered from the perspective of blind source separation. A mathematical mode is given to describe the permuted signals, and a blind detection and separation method presented according to the signal characteristics. By using the spectrum and partial correlation characteristics, blind detection and separation of the permuted sinusoidal signals and the permuted images are proposed. Simulation results show the effectiveness of the proposed method.