Radon-change

对matlab初学者很有帮助，尤其是simulink的爱好者。(Matlab helpful for beginners, especially the simulink lovers.)

1．产生一个连续信号，包含低频，中频，高频分量，对其进行采样，进行频谱分析，分别设计三种高通， 低通，带通滤波器对信号进行滤波处理，观察滤波后信号的频谱。 2.采集一段含有噪音的语音信号（可以录制含有噪音的信号，或者录制语音后再加进噪音信号），对其进行 采样和频谱分析，根据分析结果设计出一合适的滤波器滤除噪音信号(1. Produce a continuous signal, including low-frequency, medium frequency, high-frequency components, its sampling, spectral analysis, are designed for three high-pass, low pass, band-pass filter the signal filtering treatment to observe the signal spectrum after filtering. 2. Acquisition section of the speech signal contains noise (can record a signal containing noise, or voice recording, additional noise after the signal), its sampling and spectral analysis, based on an analysis of the results to design a suitable filter to filter out one noise signal)

机场流量预测与分析，用于分析与控制机场客运货运流量(The airport flow projections and analysis, for analysis and control of airport passenger and cargo traffic)

We consider the scheduling of simple linear deteriorating jobs on parallel machines a new perspective based on game theory. In scheduling, jobs are often controlled by independent and selfish agents, in which each agent tries to a machine for processing that optimizes its own payoff while ignoring the others. We formalize this situation as a game in which the players are job owners, the strategies are machines, and a player’s utility is inversely proportional to the total completion time of the machine selected by the agent. The price of anarchy is the ratio between the worst-case equilibrium makespan and the optimal makespan. In this paper, we design a game theoretic approximation algorithm Aand prove that it converges to a pure-strategy Nash equilibrium in a linear number of rounds. We also derive the upper bound on the price of anarchy of Aand further show that the ratio obtained by Ais tight. Finally, we analyze the time complexity of the proposed algorithm

matlab基础及应用教程，详细介绍了其语言基础，数值符号运算及程序设计。(basic and applied matlab tutorial, detailing the basis of their language, numerical computation and symbolic programming.)

基于数值计算的矩阵分解。用MATLAB实现的LU分解算法(Based on the numerical calculation of decomposing matrix. MATLAB LU decomposition algorithm)

使用matlab函数，，，实现用熵值法求出任意矩阵的行或列的权重和每个值的综合参数(Entropy Method )

PDCCH的实现过程及其遇见的问题应该遇见的问题(PDCCH the realization of the process and the issue should be met to meet the problem of)

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：  function form refrence matrixP