Periodogram-powe

DC_PM_motor in matlab

物理光学上的干涉实验，用matlab编程来实现，比较实用！(Intervention on physical optics experiments with matlab programming to achieve more practical!)

MPSK和QAM仿真，AWGN信道，误码率与Es/N0的关系和理论关系式的对比。(MPSK or MQAM modulated signal s relationship between BER and Es/N0 in AWGN channel,compared with the ideal function given by theory.)

用matlab编写的程序，关于MATLAB图像处理的基本操作。(Matlab prepared by the procedure, basic operations on the matlab image processing)

说明：  文章研究了利用COM组件技术的VB与 Matlab混合编程的实现方法，然后通过医学图像 处理实例阐明了混合编程的过程(This paper studies the use of VB COM component technology and Matlab Implementation of mixed programming, and then explained the medical image processing example of the process of mixed programming)

一种基于easy代码，利用小波进行周跳探测的技术，内附实例。(Based on easy code, cycle slip detection using wavelet technology, enclosing instance.)

PAPERS ON SEP..............

vind2sub by Chris MATLAB s ind2sub function implemented to return a variable length vector (vector, matrix, utility)

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)

基于证据理论的信息融合算法，适用于各种多参数信息融合(Evidence-based theory of information fusion algorithm, applicable to a variety of multi-parameter information fusion)