EKF_Peng

实现了PLSA的MTLAB算法，分门别类，较详细。(PLSA algorithm to achieve the MTLAB, categories, more detailed.)

Photonic crystals are attractive optical materials for controlling and manipulating the flow of light. One dimensional photonic crystals are already in widespread use in the form of thin-film optics with applications ranging from low and high reflection coatings on lenses and mirrors to colour changing paints and inks. Higher dimensional photonic crystals are of great interest for both fundamental and applied research, and the two dimensional ones are beginning to find commercial applications. The first commercial products involving two-dimensionally periodic photonic crystals are already available in the form of photonic-crystal fibers, which use a microscale structure to confine light with radically different characteristics compared to conventional optical fiber for applications in nonlinear devices and guiding exotic wavelengths. The three-dimensional counterparts are still far from commercialization but may offer additional features such as optical nonlinearity require

Convolutional(2,1,6) Encoder and soft decision Viterbi Decoder

对混沌现象和特征进行简要描述并用Matlab软件对一个混沌系统进行仿真和分析(Of chaotic phenomena and features a brief description and Matlab software on a chaotic system simulation and analysis)

基于LBM圆柱绕流模拟matlab程序代码，简单几行代码就可以实现圆柱绕流的可视化模拟，而且还是实时的，采用D2Q9模型，适合初学者学习。(Circular cylinder based on the LBM simulation matlab program code, a simple few lines of code can achieve circular cylinder visual simulation, but also real-time using D2Q9 model, suitable for beginners to learn.)

rayleigh distribution multipath channel model

模拟退火算法，基本算法，内附部分说明以及本人学习笔记(Simulated annealing algorithm, the basic algorithm, I am enclosing some notes, and study notes)

卡尔曼滤波的实质是由量测值重构系统的状态向量。(Essence of the Kalman filter is measured by the value of reconfigurable system state vector.)

Codes for biometric systems performence uation

VC维理论和结构风险最小化准则是统计学习理论中的重要内容,基于这一理论的支持向量机算法由于具有好的泛化性能受到重视,并被研究用于文本分类问题.基于多项式核的研究工作认为SVM的泛化能力不受多项式阶数的影响,并且能够处理很高维的分类问题,用于文本分类无需进行特征选择.研究发现,随着多项式核阶数的升高,SVM文本分类器会出现过学习现象,并且特征数越多越明显,特征选择是必需的.通过估计函数集的VC维,基于结构风险最小化理论对此问题进行分析,得出的结论跟实验结果相符. (err)