kalman_filter

Monte Carlo晶粒生长模拟matlab程序(Monte Carlo simulation of grain growth in matlab program)

gcopt of 18 of reliability test system

在mathematica环境下运行，对成绩进行分析。由于找不到mathematica的选项所以选了matlab(Mathematica run in the environment, an analysis of the results. Mathematica can not find the option as a result of the election so the matlab)

SML影像融合程式，輸入兩張對位好的來源影像，輸出為一張融合影像(SML image fusion )

超短激光脉冲传输：展宽、色散、自自相位调制、倍频、FROG，超短脉冲测量(Ultrashort laser pulse transmission: broadening, dispersion, since the self-phase modulation, frequency, FROG, ultra-short pulse measurement)

This file does the detection of transitions in a video by comparing the levels of histogram intensity between two consecutive frames. It shows a plot with the high levels of intensity, and the frames where transitions take place.

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)

异步电机abc仿真模型,基于matlab的simulink仿真，源文件(Abc model of induction motor simulation, simulink of matlab-based simulation, the source file)

一种噪声辅助数据分析方法,直线阵采用切比学夫加权控制主旁瓣比，可以得到很精确的幅值、频率、相位估计，结合PCA的尺度不变特征变换(SIFT)算法，鲁棒性好，性能优越，多抽样率信号处理。( A noise auxiliary data analysis method, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, You can get a very accurate amplitude, frequency, phase estimation, Combined with PCA scale invariant feature transform (SIFT) algorithm, Robustness, superior performance, Multirate signal processing.)

ofdm tutorial in a simple manner using matlab