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We consider the problem of optimal training sequence selection for frequency offset estimation in frequency-selective channels.
Therefore, the spreading sequence selection can be implemented as follows.
The sequence selection stage produces a rank-ordered list of amino-acid sequences by solving an integer programming sequence selection model.
One is based on sequence selection and fold specificity, whereas the other approach is based on sequence selection and approximate binding affinity calculations.
After antigen sequence selection, the three-dimensional structure of EG95 was modeled and multilaterally validated.
Also, the criterion for training sequence selection for SSI-based MIMO channel estimation is analyzed.
The framework consists of two stages: a sequence selection stage and a validation stage.
Sequence optimization and appropriate sequence selection is still an unmet need in magnetic resonance fingerprinting (MRF).
This instructional material involved sequence, selection and repetition logic patterns (or programming control structures).
First, we explain how the PU channel statistics can be used in the CCC sequence selection process.
The experiments discussed in this paper allow besides several recommendations for the cutting sequence selection and drill geometrical design when drilling hybrid CFRP/Ti stacks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com