EMD-Based Signal Filtering

By Abdel-Ouahab Boudraa, Jean-Christophe J.-C. Cexus. IEEE Transactions on Instrumentation and Measurement, 2007

620 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/e4d3324e318ed6531ebe8d0d03b0fbe94ad6fba3

How researchers see this paper

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

In Civil and Structural Engineering

1. Mohamed El Hachemi Benbouzid
2. Vincent Choqueuse
3. Gongliu Yang
4. Yuanyuan Liu
5. Yassine Amirat
6. Hongliang Yin
7. Ming Li

In Computer Vision and Pattern Recognition

1. Mohamed El Hachemi Benbouzid
2. Vincent Choqueuse
3. Yassine Amirat
4. Ming Li

In Control and Systems Engineering

1. Mohamed El Hachemi Benbouzid
2. Vincent Choqueuse
3. Gongliu Yang
4. Yuanyuan Liu
5. Yassine Amirat
6. Hongliang Yin
7. Ming Li

Citations in the corpus

• Variational mode decomposition denoising combined the detrended fluctuation analysis (2016, background): “To avoid these shortcomings, in this paper a combination of VMD and DFA, named DFA–VMD, is proposed to denoise noisy signals corrupted with WGN.”
• EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component (2013, methodology): “In addition, the implementation of EMD is a data-driven process, not requiring any pre-knowledge of the signal or the machine [28].”