在分析了目前的拥塞控制算法的基础上，将随机估计学习算法(SELA)和模糊逻辑的知识引入拥塞控制，提出了新的拥塞控制模型。
Based on analysis of the current congesting algorithm, a new congesting control mechanism is proposed, which employs SELA (stochastic estimator learning algorithm) and fuzzy logic controller.
利用复杂可编程逻辑器件对整个系统进行灵活控制，实现了从随机扫描显示系统到光栅扫描显示系统的转换。
A practical scan conversion system based on CPLD is proposed, in which CPLD is used to control SRC system flexibly and it realizes stroke to taster scan display system conversion.
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