为估计利用各类成像传感器自然获取图像的无损压缩极限，提出一个利用多尺度条件熵和记忆性度量的实用方法。
Lossless compression bounds of images naturally acquired by various imaging sensors are estimated using a practical method based on multi scale conditional entropy and memory measurement.
把近似熵用于密码技术中，设计一种实用的随机数检验方法。
Approximate entropy be applied to cryptographic technology, designing a testing method of a random sequence.
对于投资决策问题，介绍了一种实用的熵权理想点法，并通过实例给予了论证。
For investment decision, a method of entropy weighting ideal point is introduced, and its application is illustrated with an example.
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