dsinterp

a matlab cod for generating seismic standard noise in your trace

matlab2010 经典教程 pdf 经典的matlab学习指南 初学或建模有兴趣可下载(matlab2010 classic tutorial)

inverted wedge controlling parameters using pid controller.

CCISP考试指南与导读 CISSP STUDY NOTES FROM CISSP PREP GUIDE 1 DOMAIN 1 – SECURITY MANAGEMENT PRACTICES 2 DOMAIN 2 – ACCESS CONTROL SYSTEMS 7 DOMAIN 3 – TELECOM AND NETWORK SECURITY 13 DOMAIN 4 – CRYPTOGRAPHY 34 DOMAIN 5 – SECURITY ARCHITECTURE AND MODELS 46 DOMAIN 6 – OPERATIONS SECURITY 56 DOMAIN 7 – APPLICATIONS AND SYSTEM DEVELOPMENT 63 DOMAIN 8 – BUSINESS CONTINUITY AND DISASTER RECOVERY PLANNING 70 DOMAIN 9 – LAW, INVESTIGATION AND ETHICS 78 DOMAIN 10 – PHYSICAL SECURITY 87(CCISP test guidelines and guidance CISSP STUDY NOTES FROM CISSP PREP GUIDE 1DOMAIN 1- SECURITY MANAGEMENT PRACTICES 2DOMAIN 2- ACCESS CONTROL SYSTEMS 7DOMAIN 3- TELECOM AND NETWORK SECURITY 13DOMAIN 4- CRYPTOGRAPHY 34DOMAIN 5- SECURITY ARCHITECTURE AND MODELS 46DOMAIN 6- OPERATIONS SECURITY 56DOMAIN 7-- APPLICATIONS AND SYSTEM DEVELOPMENT 63DOMAIN 8- BUSINESS CONTINUITY AND DISASTER RECOVERY PLANNING 70DOMAIN 9- LAW, INVESTIGATION AND ETHICS 78DOMAIN 10- PHYSICAL SECURITY 87)

很不错的一段代码，对于ostu阈值分割的理解有很大帮助(Very good piece of code, for ostu segmentation of great help in understanding)

对一个小算法应用内点法，算法比较简单，但思路明朗。值得我们学习(Algorithm applied to a small interior-point method, the algorithm is relatively simple, but Siluminglang. We can learn)

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)

a function that extract regions in MSER

随机森林Matlab代码并附有使用说明，用于图像分类处理(Matlab code of Random Forest)

PSAT包含了：PF-潮流计算；CPF-连续潮流；OPF-最优潮流；SSSA-小扰动分析；TDS-时域仿真；GUI-用户人机界面；GNE-自定义模型等功能。该工具包已经可以计算上千节点规模的系统。而且该软件包源代码完全公开，因此用户可以根据自己的研究兴趣编写修改相应源代码实现研究目的。(PSAT includes: PF-flow calculation CPF-continuous fashion OPF-OPF SSSA-small perturbation analysis TDS-time domain simulation GUI-user machine interface GNE-custom models and other functions. The kit can have thousands of computing nodes scale systems. And the package source code is completely open, so that the user can modify the source code to write research purposes according to their research interests.)