DATA-ANNANAAPMar 20, 2017

Entropy-based Time-Varying Window Width Selection for Nonlinear type Time-Frequency Analysis

arXiv:1512.0481162 citationsh-index: 92
Originality Synthesis-oriented
AI Analysis

For signal processing practitioners, this method optimizes time-frequency representations for signals with fast-varying frequencies, but the contribution is incremental as it builds on existing techniques.

The paper proposes a time-varying optimal window width selection scheme to improve the concentration of nonlinear time-frequency analyses, demonstrating effectiveness on synthetic signals and attosecond physics data.

We propose a time-varying optimal window width (TVOWW) selection scheme to optimize the performance of several nonlinear-type time-frequency analyses, including the reassignment method, and the synchrosqueezing transform (SST) and its variations. A window rendering the most concentrated distribution in the time-frequency representation (TFR) is regarded as the optimal window. The TVOWW selection scheme is particularly useful for signals that comprise fast-varying instantaneous frequencies and small spectral gaps. To demonstrate the efficacy of the method, in addition to analyzing a synthetic signal, we study an atomic time-varying dipole moment driven by two-color mid-infrared laser fields in attosecond physics.

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