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粒子群优化(PSO)算法是计算智能领域，除蚁群算法外的另外一种基于群体智能的优化算法。(Particle Swarm Optimization)

说明：  matlab中的龙格库塔解算，可以加快程序的运行速度.(matlab in the Runge-Kutta solver, you can speed up the process of running speed.)

计算粒子在电场中的运动,可运行，运行方便，另附两个文件!!(study of a paticle in electronic field.)

EncodedArrayItem extends OffsettedItem.

说明：  基于径向基函数与B样条的散乱数据拟合方法，适合实现三维重现。(Based on Radial Basis Functions and B-spline of scattered data fitting method for achieving three-dimensional reproducibility.)

一种基于软划分方法的聚类方法——模糊k均值法聚类分析。(A division of methods based on soft clustering method- fuzzy k-means cluster analysis.)

说明：  讲解RFID技术的好论文，里面包含中科大博士论文一篇和北京交通大学硕士论文一篇，包含防碰撞算法和安全认证技术(RFID technology to explain a good thesis, doctoral thesis which contains a USTC and Beijing Jiaotong University, a masters thesis, including anti-collision algorithms and security authentication technology)

Abstract—A novel algorithm to remove rain or snow streaks a video sequence using temporal correlation and low-rank matrix completion is proposed in this paper. Based on the observation that rain streaks are too small and move too fast to affect the optical flow estimation between consecutive frames, we obtain an initial rain map by subtracting temporally warped frames a current frame. Then, we decompose the initial rain map into basis vectors based on the sparse representation, and classify those basis vectors into rain streak ones and outliers with a support vector machine. We then refine the rain map by excluding the outliers. Finally, we remove the detected rain streaks by employing a low-rank matrix completion technique. Furthermore, we extend the proposed algorithm to stereo video deraining. Experimental results demonstrate that the proposed algorithm detects and removes rain or snow streaks efficiently, outperforming conventional algorithms.

PDF matlab used for wimax

Matlab Mathmatical cal