Применение комплементарной множественной декомпозиции на эмпирические моды для анализа речевых сигналов

作者: Квитка Юрий Сергеевич , Алимурадов Алан Казанферович

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摘要: The paper considers the problem of applying adaptive methods speech signal processing. Theoretical studies on decomposition for analysis empirical mode nonlinear and non-stationary signals. substantiation method complementary ensemble (CEEMD) solving problems results experimental aimed at determining optimal parameters KMDEM

参考文章(3)
JIA-RONG YEH, JIANN-SHING SHIEH, NORDEN E. HUANG, COMPLEMENTARY ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOVEL NOISE ENHANCED DATA ANALYSIS METHOD Advances in Adaptive Data Analysis. ,vol. 02, pp. 135- 156 ,(2010) , 10.1142/S1793536910000422
Norden E. Huang, Zheng Shen, Steven R. Long, Manli C. Wu, Hsing H. Shih, Quanan Zheng, Nai-Chyuan Yen, Chi Chao Tung, Henry H. Liu, The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis Proceedings of The Royal Society A: Mathematical, Physical and Engineering Sciences. ,vol. 454, pp. 903- 995 ,(1998) , 10.1098/RSPA.1998.0193
ZHAOHUA WU, NORDEN E. HUANG, ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD Advances in Adaptive Data Analysis. ,vol. 01, pp. 1- 41 ,(2009) , 10.1142/S1793536909000047