An algorithm for pole-zero system model order estimation
نویسندگان
چکیده
In system identi cation, estimates of the unknown system model orders are often required. An algorithm for estimating model orders is described which looks at input/output data covariance matrix eigenvectors. When model orders are overestimated, zeros appear in the noise subspace eigenvectors. The number of zeros present can be used to estimate model orders.
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ورودعنوان ژورنال:
- IEEE Trans. Signal Processing
دوره 43 شماره
صفحات -
تاریخ انتشار 1995