An Approach of Adaptive Signal Separation Based on Operator and Locally Orthogonal Constraint

Yi Xiao-lei; Peng Si-long; Luan Shi-chao

doi:10.11999/JEIT150318

Volume 37 Issue 11

Nov. 2015

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Yi Xiao-lei, Peng Si-long, Luan Shi-chao. An Approach of Adaptive Signal Separation Based on Operator and Locally Orthogonal Constraint[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2613-2620. doi: 10.11999/JEIT150318

Citation:

Yi Xiao-lei, Peng Si-long, Luan Shi-chao. An Approach of Adaptive Signal Separation Based on Operator and Locally Orthogonal Constraint[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2613-2620. doi: 10.11999/JEIT150318

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An Approach of Adaptive Signal Separation Based on Operator and Locally Orthogonal Constraint

doi: 10.11999/JEIT150318

1.
(Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China)
2.
(China Aero-polytechnology Establishment, Beijing 100028, China)

Funds:

The National Natural Science Foundation of China (61032007, 61201375)

Received Date: 2015-03-17
Rev Recd Date: 2015-06-12
Publish Date: 2015-11-19

Abstract

Abstract

An operator-based approach for adaptive signal separation is proposed by using the locally orthogonal constraint and adopting back projection strategy. The approach adaptively separates a signal into additive subcomponents and a residual signal, where the subcomponents are in the null space of the operators. Experiments, including simulated signals and a real-life signal, demonstrate the feasibility, efficiency, and practicability of the proposed approach for solving the mode mixing phenomenon.
- Adaptive signal separation,
- Locally orthogonal,
- Back projection strategy,
- Null space pursuit

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References(17)

References

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