Blind source separation using an adaptive combination of two separation systems
Ying Gao · Journal of Jilin University · 2010
In this paper, a fire-new framework by adaptively combining two separation systems was proposed for BSS in an attempt to put together the best properties of them. A smoothing factor was used to adjust the proportion of the two components, and its adaptive updating rule was obtained based on the stochastic gradient schemes of the cost function. The resulting algorithm is shown to outperform its two components in both stationary and non-stationary environments.