A novel algorithm is proposed for the sorting and code identification of mixed laser-guided signals based on the analysis of the characteristics for encoding laser-guided signals.
针对目前研究较少的混合激光制导信号批次分选和码型识别问题，在分析激光制导信号编码特点的基础上，提出一种新的分选与解码算法。
They are mixed bit encoding based an sample organization mode, memory queue of weight and transitional point and correction method.
权值和迁跃点记忆队列的网络训练方法和结果校正方法。
Twenty samples are coated on 20 different optical self-encoding microbeads respectively. All beads were mixed after coating and washing for multi-samples ELISA mix-screening.
将20种光谱自编码微球与20种不同物种的免疫球蛋白和血清样品一一对映包被，然后将其全部混合在一起，进行多样品混合ELISA筛选。
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