Publication Type : Journal Article
Source : Communications in Computer and Information ScienceVolume 1377 CCIS, Pages 50 - 62, 2021
Url : https://www.scopus.com/record/display.uri?eid=2-s2.0-85107387173&origin=resultslist
Campus : Coimbatore
School : School of Engineering
Department : Mathematics
Verified : No
Year : 2021
Abstract : A two-stage variational mode decomposition approach is explored in this article to estimate the variance function in a nonparametric heteroscedastic fixed design regression model. This estimate improves the results obtained by using variational mode decomposition in the case of smooth regression function. We noticed that the amount of improvement is depending on the smoothness of the variance function. Simulations and comparisons with the earlier methods are carried out to evaluate the performance of the proposed method.
Cite this Research Publication : Gokul R., Gokul R, Nirmal A, Dinesh Kumar G, Karthic S. "A Combined Wavelet and Variational Mode Decomposition Approach for Denoising Texture Images", Communications in Computer and Information Science, Volume 1377 CCIS, Pages 50 - 62, 2021