Identification of One Dimensional Digital Filters in State Space form using Neural Networks

ABSTRACTA novel Neural Network (NN) architecture for identification of on dimensional (1-D) digital filters is introduced. The proposed NN structure can directly establish the state-space representation of a 1-D digital filter using available input-output data. An on-line implementation of the proposed method is also presented. The simulations experiments demonstrate the effectiveness of the proposed method for both Single Input Single Output (SISO) and Multi-Input Multi-Output (MIMO) digital filters.

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