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In terms of AMFMP, the proposed sequence is smaller than other sequences except C/A sequence, which indicates the proposed sequence has better tracking performance against multipath effect than other sequences, inferior to C/A.
Two cases were examined to test the proposed sequence.
Comprehensively, the proposed sequence has better acquisition performance than other sequences.
Next, the above four technical indexes of the proposed sequence will be tested.
Compared to the conventional surface finish process sequence, the proposed sequence shows superior processing efficiency and quality for sapphire wafers.
From trend of curves of the proposed sequence in Fig. 3 ∼ Fig. 6, the property of correlation is qualitatively analyzed and the proposed sequence has excellent correlation performance as classical chaotic sequences.
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The subsequent section introduces the proposed sequence-based JVSS algorithm.
Based on the proposed sequence-based scheduling strategy, we propose a scheduling algorithm.
The proposed sequence-based communication approach outperforms the existing methods known from the literature on noisy channels with 1-bit quantization and oversampling at the receiver.
The proposed sequence-based PPI predictor was implemented using MATLAB platform.
Using the proposed "sequence-regulator-network" strategy, we identified SEMA3A as a new such gene target that loses epigenetically modified EZH2 silencing in t-AML.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com