Generalized eigenvector algorithm for blind equalization

@article{Jelonnek1997GeneralizedEA,
  title={Generalized eigenvector algorithm for blind equalization},
  author={Bj{\"o}rn Jelonnek and Dieter Boss and Karl-Dirk Kammeyer},
  journal={Signal Processing},
  year={1997},
  volume={61},
  pages={237-264}
}
In 1994, an eigenvector solution to the problem of blind equalization of possibly mixed-phase linear time-invariant transmission channels was published in this journal. Unfortunately, this solution is ambiguous on a certain condition. In this paper, we introduce a novel iterative method termed EigenVector Algorithm for blind equalization (EVA), which not only overcomes the uniqueness problem, but also ensures, after some iterations, optimum linear equalization from few samples of the received… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 37 references

A Method of Self-Recovering Equalization for Multilevel Amplitude-Modulation Systems

  • Y. Sato
  • IEEE Trans. on Communications,
  • 1975
Highly Influential
3 Excerpts

Adaptive Filter Theory. Prentice-Hall, Upper Saddle River, New Jersey 07458, third edition

  • S. Haykin
  • 1996
1 Excerpt

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