matlab-

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.)

说明：  通过卷积的方式，实现无误差线性调频信号脉冲压缩仿真 通过频域补零法实现10倍以上过采样 实现3阶（-20dB）泰勒加窗，进行脉冲压缩 在3阶（-20dB）泰勒加权下实现QPE下的买中压缩(Simulation of LFM signal pulse compression)

matlab中用m文件和Simulink共同实现WIFI的仿真，学习的好资料！(matlab with m documents and a common realization of Simulink simulation WIFI, learning good information!)

matlab的轨道力学子程序，适用于搞航天航空的专业人士学习和使用。(matlab subroutine of orbital mechanics, for aerospace professionals to engage in learning and use.)

说明：  包含最先进的机器人运动学、动力学、轨迹规划等的函数及机器人仿真案例，数学理论基础为旋量。(The most advanced cases of robot kinematics and dynamics are included.)

It shows the results for PD vs. SNR for energy detector based on different sample numbers.

这是一个用matlab编制的绘制风、浪等玫瑰图分布的程序(This is a matlab prepared to draw the wind, waves and other roses distribution program)

由于遗传算法较以往传统的搜索算法具有使用方便、鲁棒性强、便于并行处理等特点，因而广泛应用于组合优化、结构设计、人工智能等领域。(Than in the past due to genetic algorithms traditional search algorithms with easy to use, robustness, ease of parallel processing, etc., which are widely used in combinatorial optimization, structural design, artificial intelligence and other fields.)

通过matlab用两种方法实现主成分分析(Matlab two ways, through the achievement of principal component analysis)

Tool for programing matlab 6.0