Identification of modal parameters using the wavelet transform

By J. Lardiès, S. Gouttebroze. 2002

201 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/b5f0772ddd94297c8bcbf712cdf69e746f80f36b

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. Hui Li
2. Satish Nagarajaiah
3. Biswajit Basu
4. Arun Chakraborty
5. Yuequan Bao

In Computer Vision and Pattern Recognition

1. Satish Nagarajaiah
2. Biswajit Basu
3. Hui Li
4. Arun Chakraborty
5. Yuequan Bao

In Environmental Engineering

1. Satish Nagarajaiah
2. Biswajit Basu
3. Hui Li
4. Arun Chakraborty
5. Yuequan Bao

Citations in the corpus

• Machine learning paradigm for structural health monitoring (2020, methodology): “Lardies et al. 24 used wavelet transforms for modal parameters identification.”
• Online Identification of Linear Time-varying Stiffness of Structural Systems by Wavelet Analysis (2008, methodology): “For example, Newland [27,28] used Harmonic wavelet for vibration analysis; Lardies and Gouttebroze [21] proposed a modified Morlet wavelet basis while Basu and Gupta [4,5] and Chatterjee and Basu [8,9] used a modified Littlewood–Paley (L–P) basis function for reasons suitable for specific applicatio”