cycum_4

MAT(rix) LAB(oratory) predstavlja snaž an softverski paket koji je i programski jezik visokog nivoa i raèunarski vizuelizacioni alat. Program je prvobitno bio napisan kako bi se obezbjedio lak pristup softveru za rad sa matricama razvijenom u okviru projekata LINPACK i EISPACK u Argonne National Labs. Tokom godina evoluirao je u standardni alat za numerièka izraèunavanja na univerzitetima š irom sveta i u razvojnim odeljenjima u industriji. Trenutno je aktuelna verzija 5.3.1, a postoje realizacije za viš e hardverskih platformi. MATLAB sadrž i i niz specijalizovanih alata u obliku tzv. skript datoteka (M-datoteke) koje proš iruju njegove moguã nosti u odreeenim klasama problema kao š to su digitalna obrada signala, automatsko upravljanje, modeliranje i simulacija sistema, neuralne mrež e, fazi logika, parcijalne diferencijalne jednaèine itd.

本例程是利用MATLAB作为开发工具，编写代码实现卷积的数值运算(This routine is to use MATLAB as a development tool to write code to achieve the numerical convolution of)

Pattern Recognition file to read the letter or the numbers so we can recognize it

实现lms算法，实现lms自适应滤波器，给出性能曲线(To achieve lms algorithm to achieve lms adaptive filter, given performance curve)

Stanford地震数据处理反演解释工具，使用非常方便(Stanford seismic data processing and interpretation)

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)

平稳性检测，关于matlab的平稳性检测源代码，时间序列多个代码(Stability testing, stability testing on matlab source code, time series, more than one code)

用matlab对OFDM系统进行仿真，并添加高斯白噪声，得到一条BER曲线(Using matlab for OFDM system simulation, and add white Gaussian noise, to obtain a BER curve)

S函数的编写，对于一个学控制的同学和MATLAB的同学很有用的(The preparation of S-function, a learning control for students and the students very useful MATLAB)

figure imagesc(Img,[0 255]) colormap(gray) hold on bw = roipoly phi = 2*(0.5-bw) tic for n = 1:200 phi = Evo_ILF_2D(phi,mu,lambda,epsilon,timestep,Img_lap) pause(0.05) imagesc(Img, [0, 255]) colormap(gray) hold on [c,h] = contour(phi,[0 0], b ) iterNum=[num2str(n), iterations ] title(iterNum) hold off