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For the input-output representation of non-uniformly multirate discrete-time systems, a coupled least squares algorithm is derived to estimate the model parameters with the advantage of avoiding the computation of matrix inversion. Moreover, The proposed algorithm has good convergence properties. The simulation test verifies the effectiveness of the algorithm.
This technical note addresses identification problems of non-uniformly sampled systems. For the input-output representation of non-uniform discrete-time systems, a partially coupled stochastic gradient (C-SG) algorithm is proposed to estimate the model parameters with high computational efficiency compared with the standard stochastic gradient (SG) algorithm. The analysis indicates that the partially...
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