Journal
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Volume 58, Issue 5, Pages 2475-2483Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2010.2041606
Keywords
Adaptive signal separation; operator-based; optimal parameter estimation
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Funding
- National Natural Science Foundation of China [60972126, U0935002/L05]
- Beijing Natural Science Foundation [4102060]
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The operator-based signal separation approach uses an adaptive operator to separate a signal into additive subcomponents. The approach can be formulated as an optimization problem whose optimal solution can be derived analytically. However, the following issues must still be resolved: estimating the robustness of the operator's parameters and the Lagrangian multipliers, and determining how much of the information in the null space of the operator should be retained in the residual signal. To address these problems, we propose a novel optimization formula for operator-based signal separation and show that the parameters of the problem can be estimated adaptively. We demonstrate the effectiveness of the proposed method by processing several signals, including real-life signals.
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