MATLAB70ch3

WCDMA系统仿真程序包，能仿真WCDMA系统的关键特性。(WCDMA system simulation package, WCDMA system simulation can be the key characteristics.)

有限元法求解电场,精度高，计算速度快，可用于点电荷电场、电磁场等条件下的求解(Finite element method for solving electric field, high precision, fast calculation, can be used to point charge electric field, under the conditions of solving electromagnetic field)

PIECE-WISE LINEAR APPROXIMATIONS

基于simulink的功率及其功率因素的仿真模型(Based on the power and power factor simulink simulation model)

conventional simulink statcom

基于MATLAB的bpsk系统下的不同情况的中继选择(MATLAB BPSK system under different circumstances-based relay selection)

本人精心收集的正弦内插算法，根据此算法,每个周期2.5采样点就可以重构一个正弦波形，经改造可用于VC和matlab(I carefully collected the sine interpolation algorithm, based on this algorithm, each cycle of 2.5 sampling points can reconstruct a sine wave-shaped, can be used by the transformation of VC and matlab)

数字基带系统MATLAB仿真程序，符合专业设计要求(DIGITAL BASEBAND MATLAB CODE)

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.)

对原有数据进行排列，找到它所在位置，求出符合要求的最小值(The original data are arranged in a position to find it, find the minimum to meet the requirements)