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**A novel blind source separation method for single-channel signal.**
*(English)*
Zbl 1197.94087

Summary: The blind separation of single-channel signal is one of the most important aspects in many fields. Our research is carried out to develop a blind separation method of single-channel signal, in which the singular spectrum analysis (SSA) and blind source separation (BSS) techniques are jointly used, i.e. the single-channel signal is firstly changed into pseudo-MIMO (multi-input and multi-output) mode, and then each source signal is separated via a fast BSS algorithm. A signal preprocessing procedure, which is mainly focused on testing the nonstationarity of single-channel signal, is conducted before the operations of mixed signal transform and separation. In this research, the approach of heuristic segmentation of a nonstationary time-series is proposed. Throughout the experiment, the effectiveness of the proposed method is validated with a data set taken from a digital wideband receiver in an outdoor test. Then, a comparison is made between the proposed method and the Hilbert-Huang transform (HHT)-based signal separation method. The advantage of the proposed method is exhibited.

### MSC:

94A12 | Signal theory (characterization, reconstruction, filtering, etc.) |

### Keywords:

SSA; BSS; nonstationary time-series segmentation; Hilbert-Huang transform (HHT); phase space reconstruction
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\textit{H.-G. Ma} et al., Signal Process. 90, No. 12, 3232--3241 (2010; Zbl 1197.94087)

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### References:

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