Single channel blind source separation method

The invention discloses a single channel blind source separation method, and belongs to the technical field of electronic information. The single channel blind source separation method is characterized by adopting an extreme point symmetric prolongation method, carrying out processing of removing an end effect to ensemble empirical mode decomposition, transforming one-way mixed signals to intrinsic mode functions (IMFs) by using the ensemble empirical mode decomposition, restraining noise, carrying out dimension reduction processing to multi-channel IMFs by utilizing principal component analysis, removing invalid components in the IMFs, and carrying out independent component analysis to multi-channel signals after dimensionality reduction to achieve blind source separation. Implementation steps comprise carrying out linear adding to the multi-channel signals and mixing the multi-channel signals to single-channel signals to transmit, recovering source signals simply, fast and effectively under the condition of not influencing later stage pattern recognition effect, and achieving the outputting of multi-channel outputs. The single channel blind source separation method has the advantages of being capable of separating the multi-channel frequency-spectrum-overlapped signals mixed to one channel under the condition of not influencing the later stage recognition effect.