Comparison between KarhunenLoeve and wavelet expansions for simulation of Gaussian processes
By Kok-Kwang Phoon, Hong-wei Huang, S. Quek. 2004
53 citations recorded by the source corpus.
Subfields: Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/85eed4b052e6ce774c6623cc17d94e232b7a833d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Daniel Straub
- Iason Papaioannou
- Wolfgang Betz
- Hong-wei Huang
- Kok-Kwang Phoon
- S. Quek
- George Stefanou
- Shih-Chieh Kao
In Statistics and Probability
- Iason Papaioannou
- Daniel Straub
- Wolfgang Betz
- Kok-Kwang Phoon
- Hong-wei Huang
- S. Quek
- George Stefanou
- Dianqing Li
Citations in the corpus
- Numerical methods for the discretization of random fields by means of the Karhunen–Loève expansion (2014, methodology): “It is applied in [7, 8, 9] for the discretization of the IEVP on one-dimensional domains.”
- Simulation of strongly non-Gaussian processes using Karhunen–Loeve expansion (2005, methodology): “If one attempts to uncorrelate or orthogonalize xi(q) by the usual eigen or Cholesky procedure [13], the numerical values of the realizations computed from Eq.”