A synchrosqueezed wavelet transform enhanced by extended analytical mode decomposition method for dynamic signal reconstruction

By Zuo-Cai Wang, Wei-Xin Ren, Jingliang Liu. 2013

53 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Geophysics

View Paper: https://www.semanticscholar.org/paper/f9a24248d6d120f04cb321fffb3aaceb5d8b6ad0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Hojjat Adeli
2. Zhijun Li
3. Hyo Seon Park

In Control and Systems Engineering

1. Hojjat Adeli
2. Zhijun Li
3. Hyo Seon Park

In Geophysics

1. Hojjat Adeli
2. Zhijun Li
3. Hyo Seon Park

Citations in the corpus

• New method for modal identification of super high‐rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms (2017, methodology): “SWT method provides an effective method for analyzing nonstationary, nonlinear, and noisy signals.([29,38,40,41]) Compared with WT and short‐time Fourier transform, SWT method provides a sharper TF representation and more visual clarity in the TF plot and thus helps obtain the underlying reconstruct”