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Independent component analysis (ICA) is a potential solution for blind source separation (BSS) problems and has proven to be effective in many practical applications. One major drawback for ICA algorithms is its heavy computation load which is especially deteriorated in long-term signals. To solve this problem, the block-wise approach is proposed to improve the computational efficiency in this study...
The paper developed a block-wise approach for ICA algorithms which can improve the computational efficiency of ICA without the degradation of performance for the separation of biomedical signals. Source signals including electrocardiogram (ECG), electromyogram (EMG) and 60-Hz sinusoid are linearly mixed for experimental tests. The mean-square errors (MSE) between the original sources and the separated...
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