多目标粒子群优化算法的matlab源代码

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

MATLAB仿真设计树形结构滤波器组 并将原来语音文件与滤波接收后的问价进行对比 能实现功能(MATLAB Simulation design tree structure filter bank and the original audio file and filter asking price after receiving comparison function can be realized)

多目标粒子群优化算法的matlab版本.最经典的多目标进化算法！ MOPSO-Multi-objective particle swarm optimization algorithm using matlab. MOPSO.MOPSO。该算法引入了自适应网格机制的外部种群，不仅对群体的粒子进行变异，而且对粒子的取值范围也进行变异，且变异尺度与种群进化的代数成比例.

用于存储数据,可存储1组数据.具体的大家可以侃侃2408的数据手册.(Used to store data, can store a set of data. Concrete that we can ably 2408 data sheet.)

另一种数字信号调制识别方式，没有给出正确率(Another digital signal modulation recognition methods, did not give the correct rate)

ieee 34 bus data to run in power flow studies

用Mie理论计算双层粒子的散射角——散射光强曲线 1．RB1.m 计算第一类Ricatti-Bessel函数的函数 2．RB2.m 计算第二类Ricatti-Bessel函数的函数 3. Alegendr.m 计算角函数 和 的函数 4. MieCoeff.m 计算包覆粒子米尔系数的函数 5. Amp.m 计算散射光复振幅的函数 6. MieIntensity.m 画包覆粒子散射角-光强图 (Mie theory calculations using double-particle scattering angle- scattering intensity curve 1. RB1.m calculate the first class Ricatti-Bessel function of the function 2. RB2.m calculate the second category Ricatti-Bessel function of the function 3. Alegendr.m computing angle functions and function 4. MieCoeff.m coated particles Mill coefficient calculation function 5. Amp.m calculate the scattering amplitude recovery function 6. MieIntensity.m painting coated particle scattering angle- light intensity diagram)

通过单边选择实现低复杂度的置信传播（BP）算法，并将此算法应用于检查模型中，可有效提高系统的性能，且具有较低的复杂度(Select achieved through unilateral low-complexity belief propagation (BP) algorithm, and the algorithm is applied to check the model can effectively improve system performance, and has lower complexity)

将小波滤波方法与VMD算法结合，提取故障信息(Wavelet and VMD algorithm are combined to extract fault information)

在matlab环境中自动识别连通区域的大小,光纤陀螺输出误差的allan方差分析，本科毕设要求参见标准测试模型，滤波求和方式实现宽带波束形成，DC-DC部分采用定功率单环控制，仿真效果非常好。