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Dimensionality reduction for visualization of normal and pathological speech data., , , and . Biomed. Signal Process. Control., 4 (3): 194-201 (2009)Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees., , and . Pattern Recognit., 43 (4): 1577-1589 (2010)Improved complete ensemble EMD: A suitable tool for biomedical signal processing., , and . Biomed. Signal Process. Control., (2014)Automatic Detection of Slight Changes in nonlinear Dynamical Systems using Multiresolution Entropy Tools., , , and . Int. J. Bifurc. Chaos, 11 (4): 967-982 (2001)An unconstrained optimization approach to empirical mode decomposition., , and . Digit. Signal Process., (2015)Noise-Assisted EMD Methods in Action., , , and . Adv. Data Sci. Adapt. Anal., (2012)Visualization of normal and pathological speech data., , , , and . MAVEBA, page 33-36. Firenze University Press / ISCA, (2007)Pathological Voice Analysis and Classification Based on Empirical Mode Decomposition., , and . COST 2102 Training School, volume 5967 of Lecture Notes in Computer Science, page 364-381. Springer, (2009)A new algorithm for instantaneous F0 speech extraction based on Ensemble Empirical Mode Decomposition., , and . EUSIPCO, page 2347-2351. IEEE, (2009)A complete ensemble empirical mode decomposition with adaptive noise., , , and . ICASSP, page 4144-4147. IEEE, (2011)