They use entropy and spatial frequency to evaluate the fusion result of their method and perform a comparison with the Laplacian based and the wavelet based image fusion methods.
最后利用熵和空间频率对该方法的融合性能进行了评估分析，并与基于拉普拉斯变换和小波变换的图像融合方法进行了比较。
When compared with the typical perceptual entropy detecting on frequency domain, it has some advantages, such as higher time resolution, more accuracy and simple algorithm.
与当前典型的基于感觉熵的频域瞬态检测方法相比，具有时间分辨率高、准确和算法简单等优点。
We also estimate the activated entropy and the reaction frequency factor by using RRKM theory.
根据RRKM单分子反应理论，得到了相应的频率因子和活化熵值。
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