研究基于脑电信号排列组合熵的运动意识任务自动分类方法。
To present a new application of permutation entropy method for automatic brain consciousness task classification.
这一结果对于进一步开展水下目标信号的识别、分类研究具有重要参考价值。
The research results will be helpful in the further study of underwater acoustic signals.
结果表明，用此方法对地震信号进行识别分类是十分有效的。
The result shows that the method is available and effective.
结果表明，用此方法对地震信号进行识别分类是十分有效的。
The result shows that the method is available and effective.
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