05728856

基于Matlab的程序，复化梯形公式求积分的算法(Matlab-based procedures, rehabilitation of trapezoidal formula for integration algorithm)

本文在确定了水声信道的数学描述后,提出了在信道自适应过程中,可以应用 子波对信号进行多分辨率分解,逐尺度地对信道进行均衡. 这样,不但减少了运算数 据量,也减少了均衡所需的权系数个数.(equalizer)

说明：  （2,1,7）归零卷积码的维特比译码算法的matlab实现((2,1,7) convolutional codeviterbi algorithm matlab implementation)

说明：  主要介绍QPSK的matlab编程，初步学习matlab语言在通信中的运用(the introduction of QPSK)

This code for shift factor problems

在通信系统仿真当中,常常会使用到伪随机信号,该源代码文件中包含两类最为常用的伪随机信号gold 序列的生成和m序列的生成,程序清晰有注解(In the communications system simulation are often used pseudo-random signal, the source code file contains two types of most commonly used pseudo-random signal sequence to generate gold and m sequences generated, the program has clear notes)

this code motion and very good communciation code human detection and object detection

isar转台仿真，仿真转目标成像，观察目标的三维图，等高图，距离压缩后的等高图(isar turntable simulation, simulation transfer target imaging to observe the target three-dimensional map, contour maps, contour map from the compressed)

多电平差错概率在同一张图上仿真多幅度电平PAM在M=2,4,8，16时符号的差错概率，信噪比0:25(Multi-level error probability)

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.)