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1)  generalized projective synchronization
广义投影同步
1.
Realing generalized projective synchronization of chaotic systems by fuzzy control;
采用模糊控制实现混沌系统的广义投影同步
2.
Adaptive generalized projective synchronization for new chaotic systems;
自适应广义投影同步混沌系统
3.
Study on the generalized projective synchronization of improved invariable-Lyapunov-exponent-spectrum chaotic system
改进恒Lyapunov指数谱混沌系统的广义投影同步研究
2)  improved full-state hybrid projective synchronization
改进广义混合投影同步
3)  full-state hybrid projective synchronization
广义混合投影同步
1.
The problem of full-state hybrid projective synchronization(FSHPS) of hyperchaotic Rssler systems was studied based on Lyapunov stability theory.
针对Rssler超混沌系统,采用自适应控制方法,通过设计控制器,研究该系统的广义混合投影同步(FSHPS)。
4)  adaptive modified generalized projective synchronization
改进自适应广义投影同步
5)  generalized projection
广义投影
1.
A generalized projection of strongly sub-feasible direction method with strong convergence for nonlinear constrained optimization
非线性约束优化一个强收敛的广义投影强次可行方向法
2.
Optimization problems with general constrains are discussed,a new algorithm with arbitrary initial point is presented by using the generalized projection technique and the idea of strongly subfeasible direction methods.
讨论一般约束最优化 ,利用广义投影技术和强次可行方向法思想 ,建立一个初始点任意的新算法 。
3.
Under mild conditions,a new feasible descent algorithm is presented and its global and superlinear convergence are proved by using the technique of combining generalized projection method with sequential systems of linear equations.
在较温和的条件下,采用广义投影和序列线性方程组相结合的技术,建立一个新的可行下降算法,证明了算法的全局收敛性和超线性收敛性。
6)  projective synchronization
投影同步
1.
Adaptive projective synchronization and parameter identification of a class of delayed chaotic neural networks;
一类不确定延迟神经网络的自适应投影同步
2.
Nonlinear observer based full-state projective synchronization for a class of fractional-order chaotic system;
基于非线性观测器的一类分数阶混沌系统完全状态投影同步
3.
Controlling projective synchronization in coupled fractional order chaotic Chen system;
两个耦合的分数阶Chen系统的混沌投影同步控制
补充资料:滤波反投影或卷积反投影


滤波反投影或卷积反投影


影像学术语。当代影像学设备进行影像重建的数学方法。在直接用扫描后所获得的投影轨迹剖面图反投影重建出的CT图像中,无法避免角度卷入条纹伪影(angular aliasing streaks)造成的模糊和失真。这种现象与被扫描层面的空间频率中高频信息的损失有关。使用一种精密的数学方法去除这种模糊。称为“展现”(unfolding)或去卷积(deconvolution),即在反投影前使用一种数学的“滤器”或卷积函数对原始数据进行修正,然后再进行反投影。两步数学处理过程合称为滤波(修正后)反投影或卷积(后)反投影。这种方法的优点是处理过程简单,速度快,所得图像逼真、清晰。
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