AN ALGORITHM FOR POLE-ZERO SYSTEM MODEL ORDER ESTIMATION

In system identification, estimates of the unknown system model orders are often required, An algorithm for estimating model orders is descr ibed that looks at input/output data covariance matrix eigenvectors. W hen model orders are overestimated, zeros appear in the noise subspace eigenvectors. The number of zeros present can be used to estimate mod el orders.