MATLAB

Levenberg–Marquardt algorithm

model forinduction machine without using simulink models

混沌时间序列的最大李雅普诺夫指数的求法，c-c算法(Chaotic time series of the largest Lyapunov exponent method, c-c algorithm)

MIMO-OFDM的matlab仿真，很好很强大，欢迎下载。(MIMO-OFDM the matlab simulation, very very strong, welcome to download.)

julia mandelbrot 分形 基本源程序(julia)

MSK调制 SIMULINK模块化实现 可以实现误码率的分析(MSK modulation SIMULINK modular BER analysis)

利用MATLAB对负指数序列进行作图，绘制出实部与虚部波形(MATLAB plotting the negative exponential sequence, to map out the real and imaginary part of the waveform.)

When plumbing the depths of the key tree, this sets a hard limit set on how deep we re willing to go.

多目标跟踪，PHD滤波器的使用，实现过程采用高斯混合方法(Multi-target tracking, using PHD filter realization method using Gaussian mixture)

针对粒子群优化算法应用于约束优化问题时易陷入局部极小值的问题, 提出了一种改进的粒子群优化算 法. 该算法综合了约束优化问题的目标函数值和约束函数的违反度值作为粒子群优化算法的双适应度值, 采用了 双适应值动态判断粒子群优化算法中粒子的优劣. 违反度值的计算引入了自适应加权系数, 相应地提出了调整各 权系数的自适应策略, 并改进了粒子群优化算法的粒子竞争选择策略, 拓展了粒子群优化算法的单适应值的应用 范围.应用约束自适应粒子群优化算法实现了城市水厂的节能优化调度. 结果表明, 该算法收敛速度快且结果可 靠. 粒子群优化算法为解决工程约束优化问题提供了一条可行途径(Considering that theparticleswarmoptimization( PSO) algorithmcanbeeasily trappedinto the local minimal valueinconstrainedoptimizationproblems, amodifiedconstrainedparticleswarmoptimiza
tionalgorithmwasproposed. Theobjective functionvalue andthe violationvalue of constraint functions wereeffectively combinedto formtwofitnesses, andthefitnesseswereadoptedto estimate if theparticle wassuperior or not ina dynamicway. Theadaptiveweight functionwasadoptedinthe calculationof the violationvalue. The strategy of keeping anadaptive relationof weight coefficientswasproposed, andthe strategyof swarmtournament selectionwasimproved. Theapplicationlocalizationsof thesinglefitnessof PSOwerewidenedaswell. ThemodifiedconstrainedPSOalgorithmwasappliedtosolveenergyoptimiza
tionproblemsof theurbanwater supplyprocess, whichshowedthat theconvergent speedof thealgorithm isfast andthe result isvalid. Afeasibleapproachto solvetheindustrial constraint optimizationproblems withPSOwasprovided.)