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After obtaining the equivalent channels (in total N × M) of all UEs, eNodeB can construct an equivalent MIMO channel matrix and perform MIMO detection to detect the data packets of M UEs.
Using the estimated CSI, we detect the data symbols by using the proposed subblock tracking scheme from (29)–(34).
To detect the data stream for each class of users independently, we assume that the DSD algorithm described in Algorithm 1 was previously employed.
Once these synchronization steps are performed, the receiver is ready to detect the data symbols in the payload part of the packet.
Porosity permeability relation illustrates a high correlation coefficient (R 2 = 0.80), as seen (Fig. 3), but at the same time, we can easily detect the data scattering around the trend line.
These receivers jointly detect the data symbols and estimate the transmission channel, which allows for a lower number of inserted pilot symbols as compared to traditional pilot based transceiver systems.
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However, these methods cannot detect the data-centric semantic fraud.
If a threat is detected, the data is shared across the network, alerting people of the threat.
ACO-OFDM symbols can be easily recovered by detecting the data carried on the odd subcarriers.
It will also affect the CSI estimation that is conventionally based on detecting the data carried by the training symbol.
When the DME pulse is detected, the data section will be transformed to frequency domain and be filtered.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com