polar_codes

sliding mode control files for advanced control system

《kalman滤波理论及其在导航系统中的应用》,对卡尔曼滤波在导航中的应用有很好的指导作用("Kalman" filter theory and its application in navigation system, a very good role in guiding the application of Calman filter in the navigation)

经典的多径衰落的通信仿真matlab程序(Classic multipath fading the communication simulation matlab program)

功能为neighborhood components analysis，a quick matlab implementation of NCA (see Goldberger et al, NIPS04). (err)

基于matlab的共轭梯度法,基于这种算法可以求解矩阵的解，以及相应的误差(base on matlab)

LDPC码的详细编解码程序，使用部分c函数接口 加速程序运行(LDPC code codec detailed procedures, use of some of the c function interface to accelerate the program to run)

project on SRM drive system The file is a Matlab m-file with all of the input parameters for the two Simulink models and It must be run prior to running the Simulink models to create the input parameters in the Matlab workspace. Because it is a Matlab m-file, it can be opened to change model input parameters. Once you have changed a parameter in you must run it again before you run the Simulink model to update the Matlab workspace and have the change take effect. The file is a Matlab m-file with all of the input parameters for the Simulink model.

《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.)

Compare<T> implements IArgumentMatcher.

path planning for robot