Sparse time-frequency representation of nonlinear and nonstationary data
Abstract
Adaptive data analysis provides an important tool in extracting hidden physical information from multiscale data that arise from various applications. In this paper, we review two data-driven time-frequency analysis methods that we introduced recently to study trend and instantaneous frequency of nonlinear and nonstationary data. These methods are inspired by the empirical mode decomposition method (EMD) and the recently developed compressed...
Paper Details
Title
Sparse time-frequency representation of nonlinear and nonstationary data
Published Date
Oct 17, 2013
Journal
Volume
56
Issue
12
Pages
2489 - 2506
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