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Abstract
A novel cost function is proposed for the design of cross coupled resonator filters in this paper. The cost function formulated depends on a minimum set of characteristics that can completely describe the desired response. An analytical gradient is also derived for the error function enhancing the efficiency of the optimization process. The proposed algorithm is less vulnerable to local minima and proves more robust compared to other optimization techniques. Examples demonstrating the efficiency of the proposed algorithm are provided.