Minimization of L2-sensitivity for L2-D separable-denominator state-space digital filters subject to L2-scaling constraints using a lagrange function and a bisection method

نویسندگان

  • Takao Hinamoto
  • Yukihiro Shibata
  • Masayoshi Nakamoto
چکیده

Abstract: The problem of minimizing l2-sensitivity subject to l2-scaling constraints for two-dimensional (2-D) separable-denominator state-space digital filters is investigated. The coefficient sensitivity of the filter is analized by using a pure l2-norm. An iterative algorithm for minimizing an l2-sensitivity measure subject to l2-scaling constraints is then explored by introducing a Lagrange function and utilizing an efficient bisection method. A numerical example is also presented to illustrate the utility of the proposed technique.

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تاریخ انتشار 2007