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simulink的经典用法,偶然在其他地方看到的,和大家共享(simulink classic usage, occasionally, in other places to see, and everyone shared)

针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度􀀂 􀀂 􀀂 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率。(Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm. The method takes into account the image pixel the gray 􀀂 􀀂 􀀂 neighborhood average gray value as a threshold for image segmentation chaotic transport Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search Time and improve the convergence rate.)

This code shows the effect of deltas on an OFDM system

基于标量量化的图像多描述编码（MDSQ）是提高信息传输质量的一种有效方法,本程序利用Matlab 工具在处理矩阵上的灵活性,实现了MDSQ 算法, 并通过解码后的图像证明该方法良好的多描述性能。(Scalar quantization-based image multiple description coding (MDSQ) is to improve the quality of information transmission of an effective method, the procedures for the use of Matlab tool flexibility matrix treatment, realized MDSQ algorithm, and through decoded images show that the method good performance of multiple description.)

无线通信系统，MATLAB通信系统函数，通信专业学生有用(Wireless communication systems, MATLAB communication system functions, useful for communication students)

check how median filter works

Section_4_BD_heterogeneous_MIMO. simulation algorithm in MIMO -OFDM

Matlab 上做的平面四方格子的Ising 模型(An Ising model of plane in Matlab2010b)

针对采用解码-转发(DF)协议的协作中继网络,提出了一种基于买者-卖者博弈的中继选择和功率分配策略,通过将用户建模为买者,可以以最大效用为标准选择最优中继和确定最佳的购买功率;将中继建模为卖者,可通过先市场后利润的功率价格调整策略获得最大的利润。(For the cooperative relay network using decode and forward (DF) protocol, a relay selection and power allocation strategy based on the buyer seller game is proposed. By modeling the user as a buyer, the optimal relay and the optimal purchasing power can be selected with maximum utility as the standard. The relay is modeled as a seller, and the profit can be achieved through the market after the first market. The power price adjustment strategy obtains the maximum profit.)

说明：  matlab taylor加权算法实现 啊啊啊啊啊啊啊啊啊啊啊(Matlab Taylor weighting algorithm realization)