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Adaptive IIR filtering based on balanced-realization
Authors:Yongfeng Zhi  Panguo Fan  Jun Zhang
Institution:Department of Automatic Control, Northwestern Polytechnical University, Xi’an 710072, China
Abstract:Due to low parameter sensitivity for balanced realizations, balanced structure becomes a good candidate for an statespace adaptive infinite impluse response (IIR) filter. Here, using coefficients of the transfer function as the adaptive filtering parameters, a balanced adaptive IIR filtering algorithm is proposed for output-error minimization. The algorithm in the internally balanced realization guarantees that the adaptive IIR filter always minimizes the ratio of maximum-to-minimum eigenvalue of the Grammian matrices at the each iteration. Simulation results are provided to corroborate the proposed algorithm.
Keywords:balanced realization  adaptive infinite impluse response filtering  state-space transformation
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