cointegration-arbitrage

这是一份matlab的遗传算法实现案例，是南京大学软件学院算法课程的高级实践课题，具有一定的指导意义(This is the case of a matlab genetic algorithm, Nanjing University School of Software Algorithms course practical issues, has a certain significance)

Stereo matching using SSD (Sum of Squared Differences)

该程序用于读取欧空局软件polsarpro处理得到的相干矩阵(The program is used to read a coherent matrix after processed by ESA processing software polsarpro )

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)

正态分布表的PZ值转换。可以输入P矩阵得到Z值(PZ transfer)

基于LQR最优控制算法的直线二级倒立摆稳定控制程序(LQR optimal control algorithm based on double inverted pendulum stability control program)

gabour code for matlab

说明：  MATLAB的具有实用型的300例子，对初学者很实用(MATLAB 300 with practical examples, very useful for beginners)

自适应滤波应用与回声抵消，提供声音信号和很多算法，完全源代码，通过编译(Adaptive filtering and echo cancellation applications, providing a sound signal and a lot of algorithms, complete source code, compile)

coasampling used in comprehensive sensing.....................