Single-Mixture Source Separation Using Dimensionality Reduction of Ensemble Empirical Mode Decomposition and Independent Component Analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s00034-012-9414-1.pdf
Reference38 articles.
1. F.R. Bach, M.I. Jordan, Blind one-microphone speech separation: a spectral learning approach. Adv. Neural Inf. Process. Syst. 65–72 (2005)
2. B.L. Barnhart, W.E. Eichinger, Analysis of sunspot variability using the Hilbert–Huang transform. Sol. Phys. 269(2), 439–449 (2011)
3. A. Dapena, D. Iglesia, C.J. Escudero, An MSE-based method to avoid permutation/gain indeterminacy in frequency-domain blind source separation. Circuits Syst. Signal Process. 29(3), 403–417 (2010)
4. M.E. Davies, C.J. James, Source separation using single channel ICA. Signal Process. 87, 1819–1832 (2007)
5. N.Q.K. Duong, E. Vincent, R. Gribonval, Under-determined convolutive blind source separation using spatial covariance models, in Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference, 14–19 March 2010 (2010), pp. 9–12
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