The following publications are possibly variants of this publication:
- Flexible Parallelized Empirical Mode Decomposition in CUDA for Hilbert Huang TransformKevin P. Y. Huang, Charles H.-P. Wen, Herming Chiueh. hpcc 2014: 1125-1133 [doi]
- A Research on Local Mean in Empirical Mode DecompositionYong-Ping Huang, Xueyao Li, Rubo Zhang. iccS 2007: 125-128 [doi]
- Recognizing Human Iris by Modified Empirical Mode DecompositionJen-Chun Lee, Ping S. Huang, Te-Ming Tu, Chien-Ping Chang. psivt 2007: 298-310 [doi]
- Using empirical mode decomposition for iris recognitionChien-Ping Chang, Jen-Chun Lee, Yu Su, Ping S. Huang, Te-Ming Tu. csi, 31(4):729-739, 2009. [doi]
- Instantaneous 3D EEG Signal Analysis Based on Empirical Mode Decomposition and the Hilbert-Huang Transform Applied to Depth of AnaesthesiaMu-Tzu Shih, Faiyaz Doctor, Shou-Zen Fan, Kuo-Kuang Jen, Jiann Shing Shieh. entropy, 17(3):928-949, 2015. [doi]
- Smoothing Empirical Mode Decomposition: a Patch to Improve the Decomposed AccuracySun-Hua Pao, Chieh-Neng Young, Chien-Lun Tseng, Norden E. Huang. aada, 2(4):521-543, 2010. [doi]
- Improvement of empirical mode decomposition under low sampling rateZhengguang Xu, Benxiong Huang, Fan Zhang. sigpro, 89(11):2296-2303, 2009. [doi]