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The disadvantage is that anomaly detection algorithms need a vast quantity of data to detect anomalous sequences based on training sequences.
Various techniques based on training sequences have been proposed to obtain accurate synchronization and channel estimation [9 19].
Moreover, they assume that the BS performs MMSE channel estimation based on training sequences received on the uplink and a priori knowledge of the large-scale fading coefficients.
The simplest approach to estimate the effective channel H e f f =HrdJ HrrG Hsr (including the amplifying factors) is based on training sequences.
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Several second layer network setups were tested in order to find the architecture with the highest cross-validated MCC value based on training set sequences.
The simulation results are represented based on the training sequences and the non-training sequence, together in Table 4.
- based on training needs analysis.
Model training was based on training data only.
Based on the training sequences' properties and the size of the training data set, we adjust the window size and use different Markov emission orders to calculate the estimated occurrence probabilities for different bases inside the window (e.g., interpolated Markov models are used [3]).
However, the balancer based on the training sequences will increase transmission costs and reduce the efficiency of the communication system.
This number is actually increased to ten during the measurements presented in Section 3. Figure 7 The transmit frame structures used in phase 2. Frame structure 1Frame structure 2. During the second phase, the integrity of the frames used for signalling is checked by estimating the SNR of the frames based on their training sequences.
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