gen_ldpc

Buckboost converter specialization

说明：  动态矩阵控制MATLAB源程序，是基于阶跃响应的模型预测控制(Dynamic Matrix Control MATLAB source code is based on the step response of model predictive control)

Image Halftoning by Jarvis Method

BFA优化算法，用于求解电力系统经济调度等优化问题，效果较好，是最近新出的优化算法(BFA optimization algorithm， used for economic dispatch problems in power systems, a new method)

双线性插值算法的实现(bilinear interpolation algorithm implementation)

对手势图像进行彩色图像和灰度图像转变，同时对RGB图像进行加噪声和滤噪处理(a hand guesture of RGB picture change into gray,and add into noise then filter the picture)

power factor correction in single phase.pls check it

根据C、M、K矩阵计算模态参数：固有频率、振型向量、阻尼比，并可区分比例阻尼还是非比例阻尼(Calculate the modal parameters C, M, K matrix: natural frequency, mode shape vectors, damping ratio, and can distinguish proportional damping or non-proportional damping)

说明：  基于matlab的动态规划！非常好用！但运行比较麻烦(Matlab-based dynamic programming! Very easy to use! But running is too much trouble)

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)