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- W2367555459 abstract "The nonlinear blind source separation algorithm is proposed using improved particle swarm optimization(PSO) combined with natural gradient algorithm.The model of nonlinear blind source separation(NBSS) is built which the nonlinear transfer function is simulate by the P-th order polynomial function.At the same time,based on the character of particle swarm optimization(PSO) ,migrating operator and local area deep-searching is introduce into PSO.Then,the parameters of the P-th order polynomial function is estimated by PSO. Experimental results indicate that the established algorithm of PSO can quickly and effectively get optimal resolution to the nonlinear blind source separation." @default.
- W2367555459 created "2016-06-24" @default.
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- W2367555459 date "2006-01-01" @default.
- W2367555459 modified "2023-09-25" @default.
- W2367555459 title "Nonlinear blind source separation using improved particle swarm optimization" @default.
- W2367555459 hasPublicationYear "2006" @default.
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