An analog architecture on parameter estimation of ARMA models
Wenzhang Wu, R.-M. Chen, Shu‐Wei Chang · IEEE Transactions on Signal Processing · 1993
An analog architecture that is suitable for parameter estimation of autoregressive moving average (ARMA) models is proposed. The convergence theorem that connects this architecture with ARMA parameter estimation is presented. Simulation results indicate that its convergence takes only a few microseconds. Hence, this architecture can lead to online implementations.>