Nonlinear Static and Dynamic Blind Source Separation Using Ensemble Learning
نویسندگان
چکیده
منابع مشابه
An Ensemble Learning Approach to Nonlinear Dynamic Blind Source Separation Using State-Space Models
We propose a new method for learning a nonlinear dynamical state-space model in unsupervised manner. The proposed method can be viewed as a nonlinear dynamic generalization of standard linear blind source separation (BSS) or independent component analysis (ICA). Using ensemble learning, the method finds a nonlinear dynamical process which can explain the observations. The nonlinearities are mod...
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