Adaptive IIR Phase Equalizers Based on Stochastic Search Algorithms
نویسندگان
چکیده
Two well known optimization algorithms, the Genetic Algorithm (GA) and the Simulated Annealing Algorithm (SAA), are investigated for IIR adaptive phase equalizers. For non-convex error surfaces, gradient-based algorithms often fail to find the global optimum. This work compares the ability of the GA and the SAA to achieve the global minimum solution for multi-order all-pass adaptive filters to be used for the phase equalization of minimum phase SAW filters.
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