newmark_int3

对大量的数据通过合理的方法按照一定的特性进行合理的分类，只需要输入原数据文件即可。(cluster analysis)

指纹预处理 利用sobel算子进行边缘检测(The use of fingerprint preprocessing sobel operator for edge detection)

预备实验 Matlab软件环境的熟悉，里面一些最简单的只是知识，可以帮助刚入门的学习(Prepared to experiment with Matlab software environment, which is just some of the most simple knowledge that can help just getting started learning)

Adaptive filter 三种演算法RLS,LNS sign error LMS(three RLS algorithm. LNS sign error LMS)

张正友平面标定法，基于matlab的文件文档(ZhangZhengYou plane calibration method, based on the matlab documentation )

Gold 序列产生程序，产生序列的长度n，主要用于扩频代码中(gold sequence)

lsb信息隐藏原理，以及matlab实现(the LSB principle of information hiding, and matlab achieve)

EM code for neural net(matlab code for neural net parameter estimation )

是一些matlab程序，MATLAB_netcdf_20101222matlab_netCDF_OPeNDAmatlab_netCDF_OPeNDAPget_dods_dds.m(studying MATLAB_netcdf_20101222matlab_netCDF_OPeNDAmatlab_netCDF_OPeNDAPget_dods_dds.m)

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)