fuzzyDTC

在瑞利衰落信道下的回加性高斯白噪声的功率谱密度和概率密度函数(In Rayleigh fading channels back to the additive white Gaussian noise power spectral density and probability density function)

对AR（4）模型的经典功率谱估计，并与真实功率谱作比较。采用了welch方法，协方差法，burg方法(For AR (4) model of the classic power spectrum estimation, and with true power spectrum for comparison. Welch method using covariance method, burg method)

Solves the incompressible Navier-Stokes equations in a rectangular domain with prescribed velocities along the boundary. The standard setup solves a lid driven cavity problem.

说明：  Cachy分布，产生cachy 分布的概率密度，随机数(Cachy distribution)

Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)

一个matlab的线性规划的工具箱，不同与matlab自带的函数，功能强大，里面带有该工具箱的使用例子，操作简单。(A matlab toolbox for linear programming, different with matlab built-in function, a powerful inside the toolbox with the use of examples, easy to operate.)

In order to reproduce Figure 3 in the Replica Paper, do the following in order: 1. Run "Linear_test.m" 2. Run "Lasso_Optimal Regularization.m" 3. Run part 0,1 and 2 (not part 3) from "Lasso_test.m" 4. Run "Zero Norm Regularization_Optimal Regularization.m"

MATLAB Programming Style Guidelines

卡尔曼平滑器，用于对卡罗曼滤波结果进行平滑(Kalman smoother for filtering the results of Romijn smoothing)

TutorielMatlab.pdf CE TUTO VOUS DONNE PERMET DE VOUS INITIER AU LANGAGE DE PROGRAMMATION MATLAB