β-Divergence Nonnegative Matrix Factorization on Biomedical Blind Source Separation
Keywords:Blind Source Separation, Nonnegative Matrix Factorization, ?-Divergence, KL Divergence, LSE Divergence,
Abstractβ-divergence has been studied for years, but it is yet to be discovered thoroughly. In this paper, we proposed the nonnegative matrix factorization (NMF) by using β-divergence in blind source separation (BSS) on biomedical field. The proposed idea is basically aimed at the separation of normal heart sound with normal lung sound. Temporal codes and spectral basis were modelled into a separated source, which is applied to the synthesis and real life data using multiplicative update rules. In the experiment, estimated and original source were compared to evaluate the performance of various source separation algorithms within a general framework, where the original sources and the noise that perturbed the mixture were included.
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