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Low-order adaptive half-sample interpolators

Low-order adaptive half-sample interpolators

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Although the fractional delay filtering literature is full of design methods and implementation techniques for fractional sample interpolators, a fundamental need for the proposition of low-order efficient designs still strongly exists. Proposed is such a system for half-sample interpolation. In contrast to the typical systems studied in the literature for fractional delay filtering, the system proposed continuously adapts its interpolation kernel to the statistical variations of the input signal, and this is in fact the reason for it being needless of having a high order. Satisfactory performance of the proposed structure has been demonstrated via simulation.

References

    1. 1)
      • C.-C. Tseng , S.-L. Lee . Digital IIR integrator design using recursive Romberg integration rule and fractional sample delay. Signal Process. , 9 , 2222 - 2233
    2. 2)
      • J.-J. Shyu , S.-C. Pei . A generalised approach to the design of variable fractional-delay FIR digital filters. Signal Process. , 6 , 1428 - 1435
    3. 3)
    4. 4)
    5. 5)
      • Välimäki, V., Laakso, T.I.: `Principles of fractional delay filters', Proc. 2000 IEEE Int. Conf. Acoustics, Speech, Signal Processing, (ICASSP), June 2000, Istanbul, Turkey, 6, p. 3870–3873.
    6. 6)
      • S. Haykin . (1996) Adaptive filter theory.
    7. 7)
    8. 8)
    9. 9)
      • M.M. Jahani Yekta . Equivalence of the Lagrange interpolator for uniformly sampled signals and the scaled binomially windowed shifted sinc function. Digit. Signal Process. , 5 , 838 - 842
    10. 10)
      • J.-J. Shyu , S.-C. Pei , C.-H. Chan . Minimax phase error design of allpass variable fractional-delay digital filters by iterative weighted least-squares method. Signal Process. , 9 , 1774 - 1781
    11. 11)
      • Tseng, C.-C.: `Digital differentiator design using fractional sample delay filter', Proc. 2005 IEEE Int. Symp. Circuits and Systems, (ISCAS), May 2005, Kobe, Japan, 4, p. 3717–3720.
    12. 12)
    13. 13)
      • Murphy, P., Krukowski, A., Tarczynski, A.: `An efficient fractional sample delayer for digital beam steering', Proc. 1997 IEEE Int. Conf. Acoustics, Speech, Signal Processing, (ICASSP), April 1997, Munich, Germany, 3, p. 2245–2248.
    14. 14)
      • S. Samadi , M.O. Ahmad , M.N.S. Swamy . Results on maximally flat fractional-delay systems. IEEE Trans. Circuits Syst. I, Reg. Prs , 11 , 2271 - 2286
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