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**Signal Processing:** In signal processing, entropy is used for various tasks, such as feature extraction and signal classification. For example, in speech recognition, entropy can be used to measure the variability of the acoustic signal and identify important features that distinguish different phonemes. In image processing, entropy can be used to measure the complexity of an image and detect regions of interest. These techniques are used in a wide range of applications, from voice assistants to medical imaging.
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