To make full use of the feature information of signals in feature extraction for target recognition and classification, this paper discusses establishment and feature compression of raw feature space.
为在特征提取中充分利用目标信号的特征信息，对原始特征空间的建立和特征压缩的过程进行了讨论。
Micro-Doppler provides a new way for radar target recognition while the translation velocity affects the extraction of micro-Doppler information.
微多普勒为雷达目标识别提供了一种新的思路和方法，而目标的平动速度会影响微多普勒信息的提取。
Feature extraction is one of key steps in underwater target classification system, to obtain some discriminatory information of various kinds of underwater targets.
特征提取是水声目标分类的关键环节之一，用以获取各类目标的一些可鉴别性特征。
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