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- W2373886126 abstract "In blind source extraction, when the kurtosis of desired signal lies in a specific range, the desired signal can be extracted based on the kurtosis of the desired signal. If outlier penalty function is used to solve the extraction of desired signal, and this method requires the penalty factor should be infinite for guaranteeing converge to optimization solve. And in this situation, the Hessian matrix of cost function will be ill-conditioned result in poor robust in practice. To solve the unstable of numerical value, Lagrange multiplier was used for the extraction of specific signal. Compared with the algorithm used the outlier penalty function, this algorithm can be converged although when penalty factor is relatively very small. Computer simulation and experiments on real FECG data confirm that the proposed algorithm is more robust and has better converge rate than that of the algorithm using the outlier penalty function" @default.
- W2373886126 created "2016-06-24" @default.
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- W2373886126 date "2008-01-01" @default.
- W2373886126 modified "2023-09-24" @default.
- W2373886126 title "Robust Extraction of Specific Signal Based on Kurtosis" @default.
- W2373886126 hasPublicationYear "2008" @default.
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