The idea of the cumulative hierarchy of sets is that we construct sets in a sequence of stages indexed by the ordinals: at stage 0, the empty set is constructed; at stage α + 1, all subsets of the set of stage α sets are constructed; at a limit stage λ, the union of all stages with index less than λ is constructed.
Spoken term detection systems are typically composed of two main stages: indexing by an automatic speech recognition (ASR) subsystem, and then search by a detection subsystem, as depicted in Fig. 1.
Spoken Term Detection systems are composed of two main stages: indexing by an Automatic Speech Recognition (ASR) subsystem, and then search by a detection subsystem, as depicted in Fig. 1.
For the high-access or low-access class, I j,in, t and I j,out, t are the numbers of infected individuals (in each of the infectious stages indexed by j) within that class and in the other class, respectively.
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In addition, we have seen previously from Figures 8 and 9 that for N = 128, the most dominant stage index is six stages which indicates that the most dominant stage index increases with the number of subcarriers N. Figure 10 Histogram of the stopping stage index for N = 8. Figure 11 Histogram of the stopping stage index for N = 32.
In Figure 14, the average stopping stage index for each SNR is obtained simply by summing up the stopping stage indices determined by the Morozov discrepancy rule for M OFDM symbols and then dividing by M. The averaged stopping stage index is plotted versus the SNR. Figure 14 Average stopping stage index versus SNR of the Morozov-LPIC detector in AWGN channel.
In Figure 17, the average stopping stage index is plotted versus the SNR.
We can see from Figures 10 and 11 that the most dominant stage index for N = 8 is four stages while the most dominant stage index for N = 32 is five stages.
In Figure 12, the average stopping stage index for each Morozov-LPIC stage is obtained simply by summing up the stopping stage indices determined by the Morozov discrepancy rule for M OFDM symbols and then dividing by M. The average stopping stage index is plotted versus the number of Morozov-LPIC stages.
