However, when the correct decisions on the symbols are fed back in the iterative mode, the estimate will have improved decisions which will in turn reduce error propagation.
Failure modes associated with the estimated failure strength are also predicted.
Consequently, the actual number of points counted to arrive at estimates of detrital modes usually exceeds the estimated number of points, Ñ (the effective count length), corresponding to the precision of replicate analyses.
However, the signal from these data has two modes, suggesting that the estimated signal is composed of a mixture of two or more distributions rather than a single exponential distribution, at least for this data set.
Thus, the estimated modes cannot be decided to which modes of interest they correspond respectively.
In Figure 5, we compare the estimated modes obtained by the 2-D ESPRIT [5] and our proposed technique.
From Table 8, one can find that the estimated modes 1, 2, and 3 are the estimated IM 6, IM 7, and IM 8, respectively.
In general, the distance between the estimated modes was also associated with the BC (rho = .44, N = 178, p < .001).001
Moreover, for each patient, we defined the distance between the estimated modes as the absolute value of the difference between them.
We made two observations: first, the HMM analyses detected bimodality, even if the distances between the estimated modes were rather small.
