An efficient noise reduction algorithm using empirical mode decomposition and correlation measurement

2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008

Volumn , Issue , 2009, Pages

  Sun, Tsung Ying ^a   Liu, Chan Cheng ^a   Jheng, Jyun Hong ^a   Tsai, Tsung Ying ^a  

^a NATIONAL DONG HWA UNIVERSITY   (Taiwan)

Author keywords

Correlation measurement; Empirical mode decomposition; Noise reduction.

Indexed keywords

EFFICIENCY; NOISE ABATEMENT;

CORRELATION MEASUREMENT; EMPIRICAL MODE DECOMPOSITION; HIGH ORDER CORRELATION; INTRINSIC MODE FUNCTIONS; MUTUALLY INDEPENDENTS; NOISE REDUCTION ALGORITHMS; SIGNAL PROCESSING RESEARCH; WAVELET COEFFICIENTS;

SIGNAL PROCESSING;

EID: 66749186007     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISPACS.2009.4806683     Document Type: Conference Paper

References (17)

1. M. Han, Y. Liu, J. Xi, and W. Guo, "Noise smoothing for nonlineartime series using wavelet soft threshold," IEEE Signal Processing Letters, vol. 14, issue: 1, pp. 62-65, 2007. (Pubitemid 46431335)
2. P. L. Ainsleigh and C. K. Chui, "A B-wavelet-based noise-reduction algorithm," IEEE Trans. on Acoustics, Speech, and Signal Processing, vol. 44, issue: 5, pp. 1279-1284, 1996. (Pubitemid 126776476)
3. Rioul and M. Vetterli, "Wavelet and signal processing," IEEE Signal Processing Magazine, vol. 8, issue: 4, pp. 14-38, 1991.
4. L. Donoho and M. I. Johnstone, "Ideal spatial adaptation via wavelet Shrinkage," Biometrika, vol. 81, pp. 425-455, 1994.
5. L. Donoho and M. I. Johnstone, "Adapting to unknown smoothness via wavelet shrinkage," Journal of the American Statistical Association, vol. 90, issue: 432, pp. 1200-1224, 1995.
6. L. Birge and P. Massart, "From model selection to adaptive estimation," Festchrift for L. Le Cam, Springer, 1997, pp. 55-88.
7. S. G. Chang and B. Yu, "Adaptive wavelet thresholding for image denoising and compression," IEEE Trans. on Image Processing, vol. 9, issue: 9, pp. 1532-1546, 2000.
8. M. K. Mihscak, I. Kozintsev, K. Ramchandran, and P. Moulin, "Low-complexity image denoising based on statistical modeling of wavelet coefficients," IEEE Signal Processing Letters, vol. 6, issue: 12, pp. 300-303, 1999. (Pubitemid 30519149)
9. J. Liu and P. Moulin, "Information-theoretic analysis of interscale and intrascale dependencies between image wavelet coefficients," IEEE Trans. on Image Processing, vol. 10, issue: 11, pp. 1647-1658, 2001. (Pubitemid 33149049)
10. Y. Chen and C. Han, "Adaptive wavelet threshold for image denoising," Electronics Letters, vol. 41, issue: 10, pp. 586-587, 2005.
11. L. Donoho, "De-noising by soft-thresholding," IEEE Trans. On Information Theory, vol. 41, issue: 3, pp. 613-627, 1995.
12. M. Jiang, D. Yuan, Z. Jiang, and M. Wei, "Determination of wavelet denoising threshold by PSO and GA," in Proc. IEEE Symposium on MAPE, vol. 2, pp. 1426-1429, 2005.
13. T. Y. Sun, C. C. Liu, T. Y. Tsai, and S. T. Hsieh, "Adequate Determination of a band of Wavelet Threshold for Noise Cancellation using Particle Swarm Optimization," in Proc. 2008 IEEE Congress on Evolutionary Computation, pp. 1168-1175.
14. A. O. Boudraa and J. C. Cexus, "Emd-based signal filtering" IEEE Trans. on Instrumentation And Measurement, vol. 56, no. 6, 2007.
15. N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shin, Q. Zheng, N. C. Yen, C. C. Tung, and H. H. Liu, "The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis," Proc. R. Soc. Lond. A, Math. Phys. Sci., vol. 454, no. 1971, pp. 903-995, 1998. (Pubitemid 128733183)
16. S. T. Lou and X. D. Zhang, "Fuzzy-based learning rate determination for blind source separation," IEEE Trans. on Fuzzy System, vol. 11, no.3, pp. 375-383, 2003.
17. S. T. Hsieh, T. Y. Sun, C. L. Lin, and C. C. Liu, "Effective learning rate adjustment of blind source separation based on an improved particle swarm optimization," IEEE Trans. on Evolutionary Computation, vol. 12, no. 2, pp. 242-251, 2008.