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By the investigation of hierarchical SAPO-11 prepared in both CA and HCl systems, the optimal modifying conditions were obtained.
In such systems the optimal set of classifiers is first selected and then combined by a specific fusion method.
Compared to separate production systems, the optimal system can reduce 16.1%-21.7% of the total annual cost, showing this design method was effective.
For this class of hybrid systems, the optimal control moves as well as the controlled switching times between two adjacent modes are determined online.
For the coded MIMO-OFDM systems, the optimal detection relies on maximum a posteriori probability (MAP) and maximum likelihood (ML) algorithms, which present an exponentially increased complexity with respect to the number of transmit antennas and modulation orders.
In such coded MIMO-OFDM systems, the optimal way to decode the received signal would be the joint detection-decoding that reveals to be very complex and infeasible for practical implementation.
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In this material system, the optimal calcination temperature for ZnO-coated LiCoO2 is around 650 °C.
The results demonstrate that for a given experimental system the optimal distribution is a thin layer inside the pellet.
To maximize the postprocessing (received) SNR for an uncoded OFDM system, the optimal weights can be shown as [10] (9).
For the QPSK 4×4 MIMO system, the optimal angles for 1/2 and 3/4 rate are 18° and 25°, respectively.
For a single stage system, the optimal base stock and release lead time have been discussed in the literature.
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