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Adaptive Filters
book

Adaptive Filters

by Ali H. Sayed
April 2008
Intermediate
832 pages
26h 2m
English
Wiley-IEEE Press
Content preview from Adaptive Filters

References

  • T. ABOULNASR AND K. MAYYAS (1997), “A robust variable step-size LMS-type algorithm: Analysis and simulations,” IEEE Trans. Signal Process., vol. 45, no. 3, pp. 631–639.
  • S. ALAMOUTI (1998), “A simple transmit diversity technique for wireless communications,” IEEE J. Selected Areas Commun., vol. 16, no. 8, pp. 1451–1458.
  • A. E. ALBERT AND L. S. GARDNER, JR. (1967), Stochastic Approximation and Nonlinear Regression, MIT Press, Cambridge, MA.
  • N. AL-DHAHIR (2001), “Single-carrier frequency-domain equalization for space-time block-coded transmis sions over frequency-selective fading channels,” IEEE Commun. Lett., vol. 5, no. 7, pp. 304–306.
  • N. AL-DHAHIR AND J. CIOFFI (1995), “MMSE decision feedback equalizers and coding: Finite-length results,IEEE Trans. Inform. Theory, pp. 961–976.
  • N. AL-DHAHIR AND A. H. SAYED (2000), “The finite-length multi-input multi-output MMSE-DFE,” IEEE Trans. Signal Process., vol. 48, no. 10, pp. 2921–2936.
  • L. V. AHLFORS (1979), Complex Analysis, 3rd edition, McGraw Hill, New York.
  • S. T. ALEXANDER (1986), Adaptive Signal Processing: Theory and Applications, Springer-Verlag, New York.
  • S. T. ALEXANDER (1987), “Transient weight misadjustment properties for the finite precision LMS algorithm,” IEEE Trans. Acoust. Speech Signal Process., vol. 35, no. 9, pp. 1250–1258.
  • S. T. ALEXANDER AND A. L. GHIRNIKAR (1993), “A method for recursive least-squares filtering based upon an inverse QR decomposition,” IEEE Trans. Signal Process., vol. 41, pp. 20–30.
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Publisher Resources

ISBN: 9780470253885