Signal-Envelope: A C++ library with Python bindings for temporal envelope estimation
This work addresses the lack of generality in conventional envelope detection methods, providing a tool for signal processing applications, though it appears incremental as it builds on existing geometric theories.
The authors tackled the problem of extracting temporal envelopes from signals, which is essential in fields like seismology and medicine, by introducing a general-purpose library that efficiently handles arbitrary signals using geometric concepts like alpha-shapes.
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.