Signals can be interpreted as composed of a rapidly varying component modulated by a slower varying envelope. Identifying this envelope is an essential operation in signal processing, with applications in areas ranging from seismology to medicine. Conventional envelope detection approaches based on classic methods tend to lack generality, however, and need to be tailored to each specific application in order to yield reasonable results. Taking inspiration from geometric concepts, most notably the theory of alpha-shapes, we introduce a general-purpose library to efficiently extract the envelope of arbitrary signals.
翻译：信号可以被解释为由迅速变化的部件组成,由变化较慢的信封调节。识别这个信封是信号处理中的一项基本操作,其应用范围从地震学到医学。但是,基于传统方法的常规信封探测方法往往缺乏普遍性,需要根据每个具体应用量体裁衣,以便产生合理的结果。我们从几何概念,特别是阿尔法-形状理论中汲取灵感,引入一个通用图书馆,以便有效地提取任意信号。
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