bpsk

MATLAB code for Kinematic simulation

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.)

water-filling algorithm

正弦函数的离散傅里叶变换，输出傅里叶变换系数(Discrete Fourier sine transform, Fourier transform coefficients output)

1、理解小电流接地系统的概念； 2、理解中性点不接地和经消弧线圈接地系统单相故障的特点； 3、学会用MATLAB/Simulink进行小电流接地系统的建模与仿真。 (1, understand the concept of small current grounding system 2, understand the neutral point ungrounded and arc suppression coil grounding system single-phase fault characteristics 3, learn to use MATLAB/Simulink for small current grounding system modeling and simulation.)

far field modelling of active optical fibre 30core

求解离散病态问题的正则化方法matlab 工具箱，可以应用到地震勘探中反演问题的求解!(solving discrete pathological problems are based on Matlab toolbox, can be applied to seismic inversion solution!)

field ii windows下软件开发包，超声仿真成像(field ii Software Development Kit)

Get kernell 32 in Windows

It is a matlab code to make a masking in spatial domain for an image. it contains different type of masking procedure for image processing.