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Blind Identification and Signal Separation of Two-Input Two-Output FIR Systems

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Abstract

This paper presents a new kind of higher order statistics (HOS) based approaches for blind identification and signal separation of two-input two-output FIR systems. The approaches consist of eigenanalysis of higher order spectrum matrices of measurements at different frequency slices and then exploiting the structural information of the coupling system to eliminate the identification indeterminacy. It is proved that under some weak restrictions, our approaches can guarantee the uniqueness of solution and lead to the desired solution, which is quite different from other existing methods.

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References

  1. B. Widrow, J. Glover, J. McCool, J. Kaunitz, C. Williams, R. Hearn, J. Zeidler, E. Dong, and R. Goodlin, “Adaptive Noise Cancelling: Principles and Applications,” Proc. IEEE, vol. 63, 1975, pp. 1692–1716.

    Google Scholar 

  2. M. Feder, A. V. Oppenheim and E. Weinstein, “Maximum Likelihood Noise Cancellation Using the EM Algorithm,” IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 37, 1989, pp. 204–216.

    Google Scholar 

  3. E. Weinstein, A. V. Oppenheim, M. Feder, and J. R. Buck, “Iterative and Sequential Algorithms for Multisensor Signal Enhancement,” IEEE Trans. Signal Processing, vol. 42, 1994, pp. 846–859.

    Google Scholar 

  4. E. Weinstein, M. Feder, and A. V. Oppenheim, “Multichannel Signal Separation by Decorrelation,” IEEE Trans. and Speech Audio Processing, vol. 1, 1993, pp. 405–413.

    Google Scholar 

  5. S. Gerven and D. Compernolle, “Signal Separation by Symmetric Adaptive Decorrelation: Stability, Convergence and Uniqueness,” IEEE Trans. Signal Processing, vol. 43, 1995, pp. 1602–1612.

    Google Scholar 

  6. D. Yellin and E. Weinstein, “Criteria for Multichannel Signal Separation,” IEEE Trans. Signal Processing, vol. 42, 1994, pp. 2158–2168.

    Google Scholar 

  7. D. Yellin and E. Weinstein, “Multichannel Signal Separation: Methods and Analysis,” IEEE Trans. Signal Processing, vol. 44, 1996, pp. 106–118.

    Google Scholar 

  8. H. Thi and C. Jutten, “Blind Source Separation for Convolutive Mixtures,” Signal Processing, vol. 45, 1995, pp. 209–229.

    Google Scholar 

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Authors and Affiliations

  1. Department of Radio Engineering, Southeast University, Nanjing, 210096, P.R.China

    Jun Wang & Zhenya He

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  1. Jun Wang
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  2. Zhenya He
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Wang, J., He, Z. Blind Identification and Signal Separation of Two-Input Two-Output FIR Systems. Multidimensional Systems and Signal Processing 9, 307–320 (1998). https://doi.org/10.1023/A:1008284820826

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  • DOI: https://doi.org/10.1023/A:1008284820826

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