SelTPart2C

在matlab环境下，实现了用sweldens算法对一维信号作分解和重构的程序(In the matlab environment, achieved by sweldens algorithm for one-dimensional signal decomposition and reconstruction procedure)

说明：  energy efficiency of noma

运用explicit,implicit, crank-nicolson方法计算美式期权以及带分红的美式期权(using explicit,implicit, crank-nicolson methods to calculate american options)

说明：  EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

Matlab智能天线算法（包含电磁场基本原理、天线阵基本原理、随机过程、传播信道特性、到达角估计、自适应波束成形等的仿真代码）(Smart antennas for wireless communication(MATLAB))

LMS算法的MATLAB实现以及实例，显示输出序列(LMS algorithm and example MATLAB implementation, show that the output sequence)

integral and differensial in MATLAB

混合蛙跳算法程序，采用1、若干次运行取最优 2、增加进化代数maxgen 3、加大种群规模popsize。三种方法来可有效克服随机初始化带来的局部极小问题(Shuffled frog leaping algorithm, using one, several runs to take the best two, increasing evolution algebra maxgen 3, to increase the population size popsize. Three ways to effectively overcome local minima caused by random initialization problem)

Implements 2D Gabor filter for images works on Matlab an image has to be first read and then converted as gray-scale before passing on to this function.

数学建模与Matlab参考书——《数学建模与数学实验》——赵静，对数学建模很有帮助(Mathematical Modeling and Matlab reference book- "Mathematical modeling and mathematical experiment" by Zhao Jing,it s very useful in mathematical modeling.)