Simulation of Random Fields with Trend from Sparse Measurements without Detrending-Reference-Cited by-同舟云学术

Simulation of Random Fields with Trend from Sparse Measurements without Detrending

Published:2019-02 Issue:2 Volume:145 Page:04018130
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Wang Yu¹,Zhao Tengyuan²,Hu Yue³,Phoon Kok-Kwang⁴

Affiliation:

1. Associate Professor, Dept. of Architecture and Civil Engineering, City Univ. of Hong Kong, Tat Chee Ave., Kowloon, Hong Kong (corresponding author).

2. Research Associate, Dept. of Architecture and Civil Engineering, City Univ. of Hong Kong, Tat Chee Ave., Kowloon, Hong Kong.

3. Ph.D. Student, Dept. of Architecture and Civil Engineering, City Univ. of Hong Kong, Tat Chee Ave., Kowloon, Hong Kong.

4. Distinguished Professor, Dept. of Civil and Environmental Engineering, National Univ. of Singapore, Singapore 119077.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0001560

Reference62 articles.

1. Candès E. J. and J. K. Romberg. 2005. “Practical signal recovery from random projections.” In Proc. SPIE Int. Symp. on Electronic Imaging: Computational Imaging III 76–86. Bellingham WA: SPIE.

2. An Introduction To Compressive Sampling

3. Bayesian model comparison and selection of spatial correlation functions for soil parameters

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