...验研究论文目录 复杂度理论基础 3.2.2基于Kc理论的EEG信号分析 3.2.3 Kc算法的性能评价 3.3功率谱熵(Power Spectral Entropy,PSE)分析 3.3.1功率谱熵理论基础 3.3.2基于功率谱熵的EEG信号分析 3.3.3功率谱熵算...
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The results indicate that the power spectral entropy of blood pressure waveform in this study can be a new measurement of heart rate fluctuations.
这一结果预示着血压波功率谱熵可作为心率波动的一种新的度量。
The density of power spectral entropy, on the whole, is an exponential decline curve with frequency augmentation without reference to water flooded extent.
功率谱密度不论水淹程度如何，整体为一随频率增大其能量按指数递减连续频谱；
Finally, a novel robust feature parameter, Adaptive Subband Power Spectral Entropy (ASPSE), is presented to successfully detect endpoints in different background noises.
发现了一种新颖的鲁棒特征参数-自适应子带谱熵(aspse)，它能成功地在不同的背景噪声下检测语音端点。
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