Abstract:

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.

Key words: permuted signal, superimposed signal, blind detection and separation, characteristic field