数据文本文件数字信号特征的提取

A Method of Digital Signal Feature Extractions for Data Text Files

针对海量数据进行特征提取是物体目标识别的关键之一。本文编写了应用程序和操作算法程序,提取光学测光谱仪海量数字信号的特征。它是通过应用VC++构造人机用户界面,提取了光学测光谱仪中的有用数据之后,对数据进行预处理和期望、方差、k阶距、极值等参数计算,并且编制绘图程序,绘出各种参数数据曲线图,最终提取了海量数据的数字信号特征。文中以某实验数据为例进行了信号特征提取,验证了操作算法和应用程序的可行性,为卫星物体目标识别提供了一种方便、有效的方法。

The feature extraction method is one of the keys in target identification. The programming and the operaalgorithms are introduced. Using the method the features can be extracted from mass digital signals. In this paper, an example is used to validate the programming and the operation algorithms feasibility. The results prove it is a convenient and effective method in feature extraction.