huffmam_coding

利用matlab的图像滤波说明，有源代码，很管用的(Note the use of matlab for image filtering, active code, it is useful to)

图像立体匹配中区域匹配源码,实现了左右2副图像的区域匹配，得到了相应的视差图。(stero matching . region matching)

Fanuc ArcMate 100iC Installation instructions

说明：  信号的双边带am调制，相干解调仿真。通信原理matlab仿真设计。(Double sideband signal am modulation, coherent demodulation simulation. Communication theory matlab simulation design.)

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.)

extract regions from image

This file is about to plot the actuator matlab.m file

peak-system canopen驱动(peak-system the driver of can is necessary for the development of canopen. )

合成孔径雷达SAR成像仿真Matlab程序,对初始学者有一定的作用(Synthetic aperture radar SAR imaging simulation Matlab procedures, the initial and scholars have produced a definite effect)

virtual force matlab代码 求无线传感器网络的覆盖率~~~~(virtual force matlab coverage)