The wavelet entropy is defined for analyzing the complexity of the signals.
结合小波包熵分析脑电在不同大脑功能状态下的脑电复杂程度。
The contrast between wavelet transform maximal modulus and wavelet entropy shows that the latter is a better approach to detect transient signal accurately and timely.
利用小波变换模极大值和小波熵测度分别对其进行检测，对比表明，小波熵测度能更准确、实时地检测到各种暂态信号。
The fast wavelet entropy technique for image indexing to reduce the complexity of the wavelet histogram method is suggested which can improve the retrieval performance.
提出了快速小波熵的图像检索技术以减少小波直方图技术的计算复杂性并提高了检索速度。
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