The adaptive wavelet collocation method and its application in front simulation

Huang, Wenyu; Rongsheng, Wu; Fang, Juan

doi:10.1007/s00376-009-8189-1

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Cited by 2 publications

References 16 publications

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De-noising of spectral signal based on stationary wavelet transform

Zhang

2011

2011 International Conference on Electric Information and Control Engineering

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In order to effectively alleviate the effect of noise in spectral signal, stationary wavelet is applied to process the spectral signal in this paper. The simulation result of stationary wavelet transform and classic wavelet transform on wheat canoy and rice canoy respectively show that both wavelet are effective in alleviating the effects of noise, while stationary wavelet gets a better SNR and reserves character of signal.

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De-noising of spectral signal based on stationary wavelet transform

Zhang

2011

2011 International Conference on Electric Information and Control Engineering

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Numerical solution of parabolic partial differential equations using adaptive gird Haar wavelet collocation method

Shiralashetti

Angadi²,

Kantli

et al. 2016

Asian-European J. Math.

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In this paper, we applied the adaptive grid Haar wavelet collocation method (AGH-WCM) for the numerical solution of parabolic partial differential equations (PDEs). The approach of AGHWCM for the numerical solution of parabolic PDEs is mentioned, the obtained numerical results, error analysis are presented in figures and tables. This shows that, the AGHWCM gives better accuracy than the HWCM and FDM. Some of the test problems are taken for demonstrating the validity and applicability of the AGHWCM.

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The adaptive wavelet collocation method and its application in front simulation

Cited by 2 publications

References 16 publications

De-noising of spectral signal based on stationary wavelet transform

De-noising of spectral signal based on stationary wavelet transform

Numerical solution of parabolic partial differential equations using adaptive gird Haar wavelet collocation method

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