Study of boundary conditions in the Iterative Filtering method for the
decomposition of nonstationary signals
release_3kuwoixbzvbnbmuilptumblm44
by
Antonio Cicone, Pietro Dell'Acqua
2019
Abstract
Nonstationary and nonlinear signals are ubiquitous in real life. Their
decomposition and analysis is an important topic of research in signal
processing. Recently a new technique, called Iterative Filtering, has been
developed with the goal of decomposing such signals into simple oscillatory
components. Several papers have been published regarding the analysis of this
technique from a mathematical point of view. All these work start with the
assumption that each compactly supported signal is extended outside the
boundaries periodically. In this work we tackle the problem of studying the
influence of different boundary conditions on the decompositions produce by the
Iterative Filtering method.
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