Time-Varying Bandpass Filter Based on Assisted Signals for AM-FM Signal Separation: A Revisit

Show more

References

[1] X. D. Zhang, “Modern Signal Processing,” 2nd Edition, Tsinghua University Press, Beingjing, 2002.

[2] G. Xu, X. Wang and X. Xu, “Time-Varying FrequencyShifting Signal Assisted Empirical Mode Decomposition Method for AM-FM Signals,” Mechanical Systems and Signal Processing, Vol. 23, No. 8, 2009, pp. 2458-2469.
doi:10.1016/j.ymssp.2009.06.006

[3] A. O. Boudraa and J. C. Cexus, “EMD-Based Signal Filtering,” IEEE Transactions on Instrumentation and Measurement, Vol. 56, No. 6, 2007, pp. 2196-2202.
doi:10.1109/TIM.2007.907967

[4] J. G. Proakis and D. G. Manolakis, “Digital Signal Processing: Principles, Algorithms, and Applications,” 3rd Edition, Prentice-Hall, Englewood Cliffs, 1996.

[5] D. L. Donoho and I. M. Johnstone, “Ideal Spatial Adaptation via Wavelet Shrinkage,” Biometrica, Vol. 81, 1994, pp. 425-455. doi:10.1109/18.382009

[6] D. L. Donoho, “De-Noising by Soft-Thresholding,” IEEE Transactions on Information Theory, Vol. 41, No. 3, 1995, pp. 613-627.

[7] S. Mallat and Z. Zhang, “Matching Pursuits with TimeFrequency Dictionaries,” IEEE Transactions on Signal Processing, Vol. 41, No. 12, 1993, pp. 3397-3415.
doi:10.1109/78.258082

[8] G. L. Xu, X. T. Wang, X. G. Xu and L. J. Zhou, “Improved EMD for the Analysis of FM Signals,” Mechanical Systems and Signal Processing, Vol. 33, No. 11, 2012, pp. 181-196. doi:10.1016/j.ymssp.2012.07.003

[9] F. Auger, P. Flandrin and P. Goncalves, “Time-Frequency in Action with Matlab,” 2000.
http://www.researchgate.net/publication/50207277_Time-frequency_in_action_with_Matlab

[10] B. Boashash, “Time-Frequency Signal Analysis and Processing—A Comprehensive Reference,” Elsevier Science, Oxford, 2003.

[11] L. Cohen, “Time-Frequency Analysis,” Prentice-Hall, New York, 1995.

[12] N. E. Huang, S. Zheng, R. L. Steven, et al., “The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear Non-Stationary Time Series Analysis,” Proceedings of the Royal Society A, Vol. 454, 1998, pp. 903-995. doi:10.1098/rspa.1998.0193

[13] R. Deering and J. F. Kaiser, “The Use of a Masking Signal to Improve Empirical Mode Decomposition,” IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 4, 2005, pp. IV485-IV488.

[14] N. Senroy, S. Suryanarayanan and P. F. Ribeiro, “An Improved Hilbert-Huang Method for Analysis of TimeVarying Waveforms in Power Quality,” IEEE Transactions on Power Systems, Vol. 22, No. 4, 2007, pp. 1843-1850. doi:10.1109/TPWRS.2007.907542

[15] C. R. Gonzalez and E. R. Woods, “Digital Image Processing,” Pearson Education, 2nd Edition, Prentice Hall Press, Upper Saddle River, 2003.

[16] G. Chen and Z. Wang, “A Signal Decomposition Theorem with Hilbert Transform and Its Application to Narrowband Time Series with Closely Spaced Frequency Components,” Mechanical Systems and Signal Processing, Vol. 28, 2012, pp. 258-279.
doi:10.1016/j.ymssp.2011.02.002

[17] R. Tao, B. Deng and Y. Wang, “Theory and Application of the Fractional Fourier Transform,” Tsinghua University Press, Beijing, 2009.

[18] G. Rilling and P. Flandrin, “One or Two Frequencies? The Empirical Mode Decomposition Answers,” IEEE Transactions on Signal Processing, Vol. 56, No. 1, 2008, pp. 85-95. doi:10.1109/TSP.2007.906771

[19] L. Angrisani, M. D’Arco, R. S. Lo Moriello, et al., “On the Use of the Warblet Transform for Instantaneous Frequency Estimation,” IEEE Transactions on Instrumentation and Measurement, Vol. 54, No. 4, 2005, pp. 1374-1380. doi:10.1109/TIM.2005.851060

[20] J. P. Zhao and D. J. Huang, “Mirror Extending and Circular Spline Function for Empirical Mode Decomposition Method,” Journal of Zhejiang University Science, Vol. 2, No. 3, 2001, pp. 247-252. doi:10.1631/jzus.2001.0247

[21] Y. J. Deng, et al., “An Approach for Ends Issue in EMD Method and Hilbert Transform,” Chinese Science Bulletin, Vol. 46, No. 3, 2001, pp. 903-1005.

[22] J. Cheng, D. Yu and Y. Yang: “Discussion of the End Effects in Hilbert-Huang Transform,” Journal of Vibration and Shock, Vol. 24, No. 6, 2005, pp. 40-47.

[23] J. Wang, Y. Peng and X. Peng, “Similarity Searching Based Boundary Effect Processing Method for Empirical Mode Decomposition,” Electronics Letters, Vol. 43, No. 1, 2007, pp. 1-2.

[24] Y. Yang, W. M. Zhang, Z. K. Peng and G. Meng, “TimeFrequency Fusion Based on Polynomial Chirplet Transform for Non-Stationary Signals,” IEEE Transactions on Industrial Electronics, Vol. 60, No. 9, 2012, pp. 3948-3956. doi:10.1109/TIE.2012.2206331

[25] E. Bedrosian, “A Product Theorem for Hilbert Transforms,” Memorandum RM-3439-PR, US Air Force Project RAND, 1962.