Estimating small structural motions based on sparsity enforcement-Reference-Cited by-同舟云学术

Estimating small structural motions based on sparsity enforcement

Published:2022-11-30 Issue: Volume: Page:
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer aided Civil Eng

Author:

Cai Enjian¹²,Zhang Yi¹²,Lu Xinzheng²,Ji Xiaodong²,Li Yinbin³,Li Jianying³,Song Xinyu³,Zhang Hong³,Liu Yong¹

Affiliation:

1. State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University Wuhan China

2. School of Civil Engineering Tsinghua University Beijing China

3. State Key Laboratory of Building Safety and Built Environment China Academy of Building Research Beijing China

Funder

State Key Laboratory of Water Resources and Hydropower Engineering Science

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering,Building and Construction

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12957

Reference61 articles.

1. Optimal Control of Adaptive/Smart Bridge Structures

2. Wireless smart sensors for monitoring the health condition of civil infrastructure;Amezquita‐Sanchez J. P.;Scientia Iranica,2018

3. Nonlinear measurements for feature extraction in structural health monitoring;Amezquita‐Sanchez J. P.;Scientia Iranica,2019

4. A novel methodology for modal parameters identification of large smart structures using MUSIC, empirical wavelet transform, and Hilbert transform

5. Compressive sampling;Baraniuk R. G.;IEEE Signal Processing Magazine,2008

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