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The minimization problem of a frequency-weighted l2-sensitivity measure subject to l2-scaling constraints for two-dimensional (2-D) state-space digital filters is formulated. First, an iterative method for solving the constrained optimization problem in question is developed by introducing a Lagrange function and applying some matrix-theoretic techniques as well as an efficient bisection method. The optimal filter structure is then synthesized so as to minimize the frequency-weighted l2-sensitivity subject to l2-scaling constraints. Finally, a numerical example is presented to illustrate the utility of the proposed technique.

On Frequency-Weighted l2-Sensitivity Analysis and Minimization of 2-D State-Space Digital Filters Subject to l2-Scaling Constraints