Optimal digital filter design with pole-zero sensitivity minimization

The authors define a global pole-zero sensitivity measure and then formulate the main problem to be dealt with. They derive the expressions for pole and zero sensitivity functions. The classical pole and zero sensitivity measures are discussed. The main results are to characterize all the optimal similarity transformations that transform any initial realization into those realizations which have either minimal pole or zero sensitivity. A design example is given to show the optimal design procedures. Some concluding remarks are also given.<
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