Abstract
In this paper, a novel Independent Component Analysis(ICA) using Smooth Discrete Wavelet Coefficients is presented. Discrete Wavelet transform is an important time-frequency analysis tool and it particularly suitable for nonlinear signal. Independent Component Analysis using Smooth Discrete Wavelet Coefficients is suitable for dealing with non-stationary signal. And simulation results have shown the method is feasible.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hyvärinen, A., Oja, E.: A Fast Fixed-Point Algo-rithm for Independent Component Analysis. Neural Computation 9, 1483–1492 (1997)
Belouchrani, A., Amin, M.G.: Blind source separation based on time-frequency signal representations. IEEE Trans. Spch. Aud. Proc. 46, 2888–2897 (1998)
Grinsted, Moore, J.C., Jevrejeva, S.: Application of the cross wavelet transform and wavelet coherence to geophysical time series. In: Nonlinear Processes in Geophysics, pp. 561–566. European Geosciences Union (2004)
Wang, J.-H., Kong, G.-Q., Liu, C.-H.: A parallel independent component implement based on learning updating with forms of matrix transformations. In: Huang, D.-S., Heutte, L., Loog, M. (eds.) ICIC 2007. LNCS (LNAI), vol. 4682, pp. 202–211. Springer, Heidelberg (2007)
Donoho, D.L., Johnstone, I.M.: Ideal spatial adaptation by wavelet shrinkage. Biometrika 81, 425–455 (1994)
Lindsay, R.W., Percival, D.B., Rothrock, D.A.: The discrete wavelet transform and the scale analysis of the surface properties of sea ice. IEEE Trans. Geosci. Remote Sens. 34, 771–787 (1996)
Weng, H., Lau, K.-M.: Wavelets, period doubling, and time-frequency localization with application to organization of convection over the tropical western. Pacific. J. Atmos. Sci. 51, 2523–2541 (1994)
Shan, Z.: Aviyente Source Separation in the Time-Frequency Domain by Maximizing an Information-Theoretic Criterion. In: 2006 IEEE International Conference on Electro/information Technology, May 7-10, pp. 43–48 (2006)
Reju, V.G., Koh, S.N., Soon, I.Y.: Underdetermined Convolutive Blind Source Separation via TimeCFrequency Masking. IEEE Transactions on Audio, Speech, and Language Processing, 101–116 (2010)
Shan, Z., Swary, J., Aviyente, S.: Underdetermined Source Separation in the Time-Frequency Domain. In: International Conference on Acoustics, Speech and Signal Processing, pp. 945–948 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, J., Zhao, Y. (2011). Independent Component Analysis Based on Smooth Discrete Wavelet Coefficients. In: Yang, D. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25992-0_47
Download citation
DOI: https://doi.org/10.1007/978-3-642-25992-0_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25991-3
Online ISBN: 978-3-642-25992-0
eBook Packages: EngineeringEngineering (R0)