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1)  Double Step algorithm
两步算法
1.
The Bresenham and Double Step algorithm are further improved with ADSP 21060 Visual 2 0++ compiler and the rendering speed of line segments is increased by 44% and 45%, in comparison with the original Bresenham algorithm and Double Step algorith
从Bresenham直线生成算法和两步算法入手 ,在对这两种直线生成算法改进的基础上 ,提出把算法的优化与所用的微处理器和编译系统结合起来 ,探讨进一步提高算法效率的途径 并在研制的飞机座舱显示系统全罗盘画面的绘制中给出具体实现 ,给出与前两种算法的执行时间比
2)  two stage H ∞ identification algorithms
两步H∞辨识算法
3)  a two-step ranging algorithm
两步测距算法
4)  two-step suboptimal algorithm
两步次优算法
1.
Then,to reduce the complexity,we propose a two-step suboptimal algorithm that separates subcarrier and power allocation.
随后为降低求解该优化问题的复杂度,提出两步次优算法,将问题分解为子载波分配和功率分配。
5)  Two-step calculation
两步计算
6)  adaptive two-step filter
自适应两步滤波算法
1.
Aiming at the speciality of transcendental noise statistics and linearization error of measurement model effecting on filter precision during extended kalman filter with applications to passive location of IRSTS,we constructed adaptive two-step filter algorithm model for passive location of IRSTS by means of integrating two-step filtering algorithm with Sage-Husa noise statistics estimator.
在机载红外搜索跟踪系统被动定位研究中,针对扩展卡尔曼滤波算法要求先验的噪声统计及存在系统观测模型线性化误差影响滤波精度的特点,利用两步滤波算法并结合Sage-Husa噪声估计器构建了适用于机载IRSTS被动定位特点的自适应两步滤波算法模型,算法不仅实时在线地估计了观测噪声的统计特性,而且避免了观测模型线性化误差。
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