ofdm802.11a

四阶龙格库塔法解微分方程，并与ode45，精确解比较(Fourth-order Runge-Kutta method for solving differential equations with ode45 exact solution)

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.)

用MATLAB实现数值分析中插值与曲线拟合(Numerical analysis in MATLAB realization of the interpolation and curve)

最新粒子群matlab算法，适用性强，傻瓜式套用(New particle swarm algorithm matlab, applicability, Fool Apply)

A source in an Ebook called lovestory

说明：  matlab编写的[数据挖掘]分类算法DSLVQ算法程序。(Matlab prepared by the [data mining] classification algorithm DSLVQ algorithm.)

等高线绘制 -以换取下载的基金会-赶紧下载啊啊(Contour drawing- in exchange for the foundations of the download- quickly download ah ah)

SVPWM算法MATLAB仿真，采用S函数实现(SVPWM algorithm MATLAB simulation, using the S-function realization)

先进PID控制Matlab仿真(刘金琨编)第4版-仿真程序 全书分17章，包括基本的PID控制、PID控制器的整定、时滞系统PID控制、基于微分器的PID控制、基于观测器的PID控制、自抗扰控制器及其PID控制、PD鲁棒自适应控制、专家PID控制和模糊PD控制、神经网络PID控制、基于差分进化的PID控制、伺服系统PID控制、迭代学PID控制、挠性及奇异摄动系统的PD控制、机械PID控制，以及其他控制方法的设计。每种方法都给出了算法推导、实例分析和相应的MATLAB仿真设计程序。(Advanced PID Control matlab simulation (edited by Liu Jinqi) - 4th Edition - simulation program The book is divided into 17 chapters, including basic PID control, tuning of PID controller, PID control of time-delay system, PID control based on differentiator, PID control based on observer, ADRC and its PID control, PD robust adaptive control, expert PID control and fuzzy PD control, neural network PID control, PID control based on differential evolution, PID control of servo system and iterative PID control. The design of PD control, mechanical PID control and other control methods for flexible and singular perturbation systems. Each method gives the algorithm derivation, case analysis and corresponding MATLAB simulation design program.)

说明：  Kim模型仿真的MATLAB代码。利用Kim模型计算衰减系数作为能见度的函数。(To evaluate attenuation coefficient as a function of visibility.Using the Kim model.)