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Concerning the modeling stability, both algorithms present similar limitations, although for different ARMA model orders.
The true model orders are noted for different speakers.
The estimated model orders are presented after the error of the ARopt in parenthesis.
The range of the model orders are noted for the different speakers.
Figure 14 shows a comparison of the different AR model orders.
This includes the selection of suitable input and output data and selection of appropriate model orders.
Subspace methods enjoy some popularity in structural engineering, where large model orders have to be considered.
Model orders of both models are equal to as compared to a FDLP model order of for the nontonal signals.
Several models were tested in the process of determining the backoff functions for different maximal model orders and different factors.
SIR is 2.2 dB Fig. 14 Comparison of different AR model orders when using M2 and M3 mobility models.
where l logK is a penalty function that prevents the GLRT statistic to monotically increase with increasing model orders.
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