Adaptive Combination Algorithm and Its Modified Scheme for Blind Source Separation
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摘要: 该文通过引入滑动参数来自适应地组合两个不同步长的盲源分离系统，提出了一种自适应组合型盲源分离算法，其可在两个系统并向运行的同时，自适应地选取最优的分离系统进行在线分离。文中推导了滑动参数的自适应更新规则，并针对算法存有的问题，提出了具体优化方案。平稳和非平稳环境下的仿真实验表明了算法的优良性能。Abstract: By adaptively combining two separation systems with different step sizes, an adaptive combination algorithm is proposed for blind source separation. A smoothing parameter is used to adjust the proportion of the two systems in an attempt to put together the best properties of them. The adaptive updating rule for the smoothing parameter is obtained, and in view of the insufficiency of the proposed method, a concrete modified scheme is also presented. Experimental results demonstrate the good performance of the proposed approaches in stationary and non-stationary conditions.
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Key words:
- Signal processing /
- Blind source separation /
- Step size /
- Adaptive /
- Smoothing parameter
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